Open Startup
Health Insurance Post a job

Get a   email of all new Remote  Machine Learning Jobs

Subscribe
×
抽 Join Remote OK  Log in
General
Remote OK Frontpage Remote jobs Hire remote workers Post new job
Top jobs
Developer Jobs Engineer Jobs 猶enior Jobs 勰xecutive Jobs 儭JavaScript Jobs Ruby Jobs Full Stack Jobs 橘DevOps Jobs
Companies
Post new job Buy a job bundle Safetywing Health insurance for teams Safetywing Health insurance for nomads
Feeds
Remote Jobs API RSS feed JSON feed

Hacker News mode  Hacker News mode

Safe for work mode  Safe for work mode

Other
仆  Open Startup ($109k/mo)   Uptime (99.24%)   Pageviews (1.12M/mo) Remote work stats new
  Become a digital nomad
  Web3 Jobs new
蛤  Get Portuguese residency new

Hiring for a Remote Machine Learning position?

Post a job
on the #1 Remote Jobs board.

Remote Health by SafetyWing


Global health insurance for freelancers & remote workers

Machine Learning Remove this filter
Clear 150 results

Median pay is $105,000/y

Carted


verified
Worldwide
 
$100k - $200k

python

 

nlp

 

tensorflow

Carted is hiring a
Remote Machine Learning Engineer

**OUR STORY**\n\nWere on a mission to build solutions for the next generation of commerce. Ultimately we enable developers and platforms to make commerce seamless by connecting them to millions of merchants and billions of products with a single API.\n\nCarted will power commerce experiences anywhere on the internet, allowing developers and content creators to build a direct checkout of any product from any merchant via any content on the web.\n\n**We are looking for Machine Learning Engineers to join our team and come help us solve data-driven problems at Petabyte scale.**\n\n**REQUIREMENTS**\n* Python, TensorFlow/PyTorch.\n* NLP (problems include entity extraction, intent classification, sentence classification).\n* Is well-aware of the current state of research in the domain (representation learning) and comfortable with implementing new ideas when needed.\n* ML Solution engineering experience with any of the following cloud service providers: Google Cloud * Platform, Microsoft Azure, Amazon Web Services.\n* Vector similarity search at scale with open-source tools like ScaNN, Faiss, Annoy, etc.\n* Computer vision (problems include fine-grained image classification, localization, etc.)\n\n**BONUS POINTS**\n* Experience with handling e-commerce data.\n* Docker and k8s.\n* Exposing ML models as gRPC/RESTful APIs or with fully managed serverless systems.\n* Has trained deep neural networks using distributed training for large datasets using TPUs.\n* Deployed ML model / NLP models / computer vision models that are currently in production.\n\n**WHY COME AND JOIN OUR TEAM**\n\nWe are a well-funded, fast growing startup with people around the globe. You will have autonomy and ownership of the work you do, with flexible hours\n\nWe offer a competitive base salary plus equity, so you are rewarded for your best work. On top of this we offer generous paid holidays. Holiday is called holiday at Carted and never annual leave as we are big believers that holiday is your time and we want you to enjoy it! We also provide you with top-end equipment to make your space enjoyable.\n\nWe have a training and development allowance to invest in your personal and professional development.\n\nWe like to learn quickly, do things differently and most importantly, have fun! \n \n\nBe sure to mention the word **PEPPED** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $200,000/year\n \n\n#Location\n Worldwide


See more jobs at Carted

Visit Carted's website

Apply for this job

Pngme



San Francisco
 
$70k - $130k*

data science

Pngme is hiring a
Remote Data Scientist Natural Language Processing

Data Scientist - NLP\n\nAbout the role\nPngMe is looking for a senior-level NLP-specialized Data Scientist who can independently research, experiment, build, and productize NLP-based solutions to translating unstructured text data.\n\nResponsibilities\n-Apply NLP/NLU techniques such as named entity recognition, text classification, and statistical language models to translate unstructured text into machine-readable form\n-Develop solutions in collaboration with data engineering to deploy algorithms through an MLOps pipeline\n-Build a rigorous experimentation framework to evaluate algorithm efficacy and drive a culture of iteration, optimization, and model tuning.\n-Work with customers to identify, design, and NLP/NLU models for product use cases\n\nRequirements\n-Bachelors degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist\n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority\n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages\n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nSan Francisco


See more jobs at Pngme

Pngme



San Francisco
 
$70k - $130k*

data science

Pngme is hiring a
Remote Data Scientist Machine Learning

Data Scientist - Machine Learning\n\nAbout the role\nPngMe is looking for a mid-to-senior-level Data Scientist who can independently run deep data investigations, partner with our product and engineering teams, support our customers with analytic and modeling solutions, and evangelize data science across the organization.\n\nResponsibilities\n- Run impactful inferential analyses and data investigations to develop deep understanding of data\n-Identify recurring patterns, root causes, and propose actionable product solutions\n-Build, validate, fine-tune, and deploy machine learning models as product via a robust MLOps pipeline\n-Partner with the product, design, and engineering teams to define and monitor key business metrics, build visualizations and dashboards, present actionable insights across the organization, and collaborate on platform functionality\n-Work collaboratively with customers to identify problems, build analytics & modeling solutions, present insights, and demonstrate the value of Pngmes products\n-Provide thought leadership on developing cultural excellence around statistical analysis, experimentation, and modeling\n\nRequirements\n-Bachelors degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist\n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools.\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority\n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages\n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nSan Francisco


See more jobs at Pngme

OneSecondDelivery

 This job is getting a high amount of applications right now (59% of viewers clicked Apply)

closed
Eastern Europe, Latin America, South Asia, Middle East/africa
 
$30k - $100k

pytorch

 

tensorflow

 

computer vision

OneSecondDelivery

OneSecondDelivery

2,209 views

1,299 applied (59%)

This job post is closed and the position is probably filled. Please do not apply.
**Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.**\n\n##About OneSecondDelivery\nWe are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 5 times faster and 100 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technologys Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources.\n\nYou can check out our website OneSec.com for more info\n\n##Job Description\nOneSec is building one of the largest machine learning projects in the drone industry.\nWith our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 60 million training samples. As well as an unsupervised pre-training pipeline with 400 million training samples. We are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning project to this scale. \n\n####Your job has 3 components:\n* Neural network training and optimization\n* Dataset management and generation\n* Supporting our hardware team in building up our exaflop-scale machine learning cluster\n\n####Here are some of the Neural Networks you will be building:\n\n-Delivery surface finder:\nA neural net that picks the optimal delivery surface within a balcony or backyard of a customer.\nUsually this will be a table or chair or a section of the floor that has enough clearance.\n\n-OneSec Fruxel Depthmap:\nThis is a convolutional neural network that takes camera images and generates a 3D representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone. This neural network represents the core of our autopilot system. \n\n-Delivery Clearance Model:\nThis model checks the camera images to see if the scene is safe to approach. We don't fly into a balcony if there's a human or dog in it. And when we approach a restaurant to pickup a package, we make sure the scene is clear of humans, pets etc.\n\n###Requirements\n* The most important thing is that you are excited about this project, and like the mission of our company.\n* Knowledgeable about machine learning and neural networks. Both practical and theoretical.\n* Experience with computer vision and convolutional networks\n* Experience with PyTorch and TensorFlow\n* Good computer skills, and general tech savvy: you will do many tasks like setting up recording devices to record datasets, creating small python programs for dataset labelling and management, post processing large image datasets etc.\n\n###Benefits:\n* Take part in a huge success story\n* Flexible work schedule\n* Competitive cash compensation\n* Equity compensation (become a partner in the company) \n\nBe sure to mention the words **AUTHOR EXCHANGE MARKET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $30,000 — $100,000/year\n \n\n#Location\nEastern Europe, Latin America, South Asia, Middle East/africa


See more jobs at OneSecondDelivery

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Tesla


closed
Palo Alto, Austin or Remote
 
$75k - $115k*

dev

 

artificial intelligence

 

ai

Tesla

Tesla

9,066 views

3,924 applied (43%)

This job post is closed and the position is probably filled. Please do not apply.
**The Role**\n\nAs a member of the Autopilot AI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows. You will work closely with some of the best, world-class AI researchers and machine learning experts towards Teslas goal of a self-driving future. \n\nThe AI Tooling team is a central part of Autopilot AI. The systems you build will have a large impact on the entire lifecycle of model development. This includes data processing, data discovery, annotation, and visualization. This also includes tools that help us automate the entire workflows of training, validation, and productionization of our Autopilot neural networks. \n\nAs an engineer on the AI Tooling team, you bring top-notch software engineering skills and can contribute to our tooling systems immediately. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. That can be learned on the job as you work with our machine learning experts. A strong candidate for the AI Tooling team will either be an excellent software generalist, or someone who is exceptionally strong in either backend or frontend engineering.\n\n**Responsibilities**\n\nDesign and implement large-scale data processing pipelines that handle a diverse set of Autopilot related data such as images, sensor inputs, and human labels.\nDesign and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our model training.\nWork closely with frontend engineers to seamlessly integrate with backend systems.\nWork closely with AI researchers to support evolving research projects and implement new production features.\n\n**Requirements**\n\nBS/MS in Computer Science or related field, or equivalent industry experience.\nStrong knowledge of at least one programming language related to data engineering, such as Python or Scala is required.\nExperience with scientific computing libraries such as numpy, pandas, or scikit-learn is a plus.\nExperience with big data systems such as Spark, Hadoop/MapReduce is a plus.\nExperience with cloud computing such AWS EC2/S3/RDS is a plus.\nExperience with ElasticSearch or other scalable search systems is a plus.\nExperience with real-time data processing is a plus.\nKnowledge of machine learning, computer vision, or neural networks is a plus but not required.\nTesla participates in the E-Verify Program\n\nTesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.\n\nTesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. \n\nBe sure to mention the words **FOREST SHED CERTAIN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Machine Learning and Artificial Intelligence jobs that are similar:\n\n $75,000 — $115,000/year\n \n\n#Location\nPalo Alto, Austin or Remote


See more jobs at Tesla

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Jupiter


verified closed
Worldwide
 
$140k - $190k

typerscript

 

grpc

 

data science

 

bigquery

Jupiter

Jupiter

jupiter.co

4,535 views

-2 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
## The big vision 沔nAs a society, we spent the last decade solving delivery and bringing the physical grocery store online. What we missed is the simple fact that food was already online in the form of content in food communities, blogs and forums. In fact, food makes up a large portion of the social media content we consume today.\nAt Jupiter, [we are pioneering food media & content shopping in the US](https://www.winsightgrocerybusiness.com/technology/social-network-grocery), and in doing so we're building the next version of grocery shopping. In this new version, customers will create, share and shop content directly from food communities where they find affinity. They'll be able to easily plan their meals and shop for ingredients in a single click, as well as share cooking tips with others a 10x better way to shop that can only exist online.\nWe use data science and machine learning to automate the repetitive nature of grocery shopping and weve created a social shopping experience that is unique to the world of food. Join us on our mission to build magical food experiences that are convenient, healthy & fun!\n\n[*Jupiter](http://jupiter.co) was part of Y Combinator's Summer 2019 batch, and [secured 2.8M](https://techcrunch.com/2020/06/16/jupiter-wants-to-put-grocery-delivery-on-autopilot/) from an outstanding set of investors including NFX, Khosla Ventures, Canaan Ventures, Switch Ventures, and Paul Buchheit.*\n## **About your role **\nOur autopilot predictions and recommendations are the bread-and-butter of the Jupiter platform, and are core to personalizing the Jupiter experience. Joining as a founding member of our machine learning engineering (Autopilot) team, youll be critical in making foundational decisions around our data stack and model infrastructure at Jupiter to supercharge this system.\nAs a founding Autopilot engineer, engineering is just as important as data science. In other words, not only will you be responsible for model development and evaluation, but youll own productionization of those models, workflows, and ETL as well.\n**Your responsibilities would include**\n- Making foundational decisions around our data pipeline and model infrastructure from both an engineering (e.g. workflow management, data warehousing) and data science (e.g. model design/evaluation) perspective.\n- Building, launching, evaluating, and maintaining models and custom algorithms to generate predictions of what products or recipes customers are ordering week-to-week, *and* personalized recommendations for what they might like to add.\n- Working closely with the product team to outline feature/UX work which maximizes information provided to models.\n- Track prediction/recommendation precision and recall closely across customer segments to inform subsequent modeling decisions.\n- Shaping our practice as a founding member of the Autopilot Team, bringing your technical leadership, experience, and knowledge of best practices to establish a strong culture around machine learning engineering.\n**Ownership within the autopilot team:**\n- You work primarily on the **personalization and recommendation** feature sets within the autopilot team.\n- You will work with the product team to personalize the store experience and improve product recommendations for customers.\n**We're looking for the best talent out there, so we're offering competitive base salaries with generous early-hire equity.**\n## About you 抽\n**You might be a great fit if you**\n- Have 4+ years of experience productionizing ML systems\n- Are thrilled about tackling challenging, seemingly-impossible technical problems around data science, machine learning engineering, predictive modeling, or discrete optimization\n- Have lots of experience building out and productionizing systems around personalization and recommendation\n- Are excited about learning about and designing complex machine learning algorithms attuned to specific problems or use cases\n- Are comfortable working with modern web stacks and integrating data pipelines within production systems - we use TypeScript, Kotlin (JVM), gRPC/protobuf, Terraform, among others\n- Are just as excited about data exploration in BigQuery and Jupyter notebooks (i.e. data science) as you are about setting up data pipelines with Airflow (i.e. data engineering)\n- Are enthusiastic about learning, trying, and diving deeply into new, unfamiliar technologies\n- Have taken a customer-facing product from conception to execution, and are excited about doing so again at Jupiter\n- Care about writing clean, well-documented code and appreciate static typing\n- Enjoy taking initiative while working with a small team in fast-paced environment\n- Are excited about reinventing the online grocery experience, starting with working families \n\nBe sure to mention the words **OAK RAVEN BROKEN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $140,000 — $190,000/year\n \n\n#Location\n Worldwide


See more jobs at Jupiter

Visit Jupiter's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Sticker Mule


closed
Worldwide
 
$100k - $140k

docker

 

javascript

 

python

 

golang

Sticker Mule

Sticker Mule

4,042 views

608 applied (15%)

Sticker Mule is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
**About Sticker Mule**\nSticker Mule is the Internet's most "kick ass" brand. We are privately-owned, profitable, and powered by a globally distributed team who cares deeply about delivering a great customer experience at the highest technical standards. Our software team operates from 17 countries, and we're always looking for more exceptional engineers.\n\nThe Machine Learning team is responsible for building and maintaining our ML-assisted tools like Trace and Upscale.\n\n[See more about our teams here](https://www.stickermule.com/about)\n\n**We offer**\n1. Remote work with flexible schedules\n2. Varied, interesting technical challenges to solve\n3. A fun "no bullshit" work environment\n\n**We like you to know**\n1. Docker\n2. JavaScript\n3. Python\n4. Go\n5. TensorFlow\n6. PyTorch\n7. Postgres\n8. Familiarity with Computer Vision\n9. Excellent communication skills (English)\n10. Degree in Computer Science or equivalent practical experience\n\n**Challenges**\n1. Improve our ML-assisted tools\n2. Train new models for upcoming projects\n3. Maintain optimal performance at scale\n\n**Compensation and benefits**\n1. $99,000-$135,000+\n2. $10,000 signing bonus\n3. 4 weeks vacation \n\nBe sure to mention the words **DINNER RAISE INITIAL** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $140,000/year\n \n\n#Location\n Worldwide


See more jobs at Sticker Mule

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

AMNESIA media


verified closed
Worldwide
 
$80k - $130k

cannabis

 

python

 

nlp

 
AMNESIA media

AMNESIA media

amnesiamedia.io

4,605 views

444 applied (10%)

This job post is closed and the position is probably filled. Please do not apply.
 **Overview:**\n\nThe legal cannabis market is one of the most dynamic, fast-paced new industries on the planet. Growing adoption for recreational as well as medical use will require public perceptions to shift and evolve a massive marketing challenge that has to take into account compliance with multiple states and federal regulatory bodies for trade/communications as well as restrictions on fundamental ad channels taken for granted by traditional consumer product marketers.\n\nThose who will succeed in building enduring, global cannabis brands need tools to navigate problems unique to the space. This is why AMNESIA builds products that help the top, enterprise-size cannabis brands compliantly scale their digital marketing and reach the masses with the broader mission of empowering cannabis communities to positively grow.\n\n**The Role:**\n\nAMNESIA is seeking a Senior Full Stack Developer that has a solid foundation in Machine Learning and NLP to join our team on a contract basis.\n\nYou'll collaborate closely with the founders and product team to understand our customers' problems as well as to plan, strategize, & help to develop our enterprise marketing compliance product from closed beta stage to version one. \n\nYou will be responsible for our entire ML/NLP pipeline from ideation to final implementation in order to level up the core feature sets of our compliance product. \n\nYou should have experience building scalable/maintainable complex systems. You should have experience building intuitive products that empower users. You should be able to do all of the above quickly and more efficiently than most.\n\nFounders are veterans of regulated markets who move quickly and are passionate about their work. Our partners and customers are the cream of the crop of the cannabis industry. This role offers huge room for growth for an aggressive and ambitious individual who is excited to work with the founders to take ownership of the core feature-sets in our new product and making a dent in one of the most exciting new industries in the world.\n\n**This is a fully remote position.** \n\n**Responsibilities**\n\n- Architect, design, and hands-on build the software\n- Work closely with the founders and product team to build and implement ML/NLP models to improve our product experience.\n- Prepares datasets to train and validate models.\n- Understands and interprets data to come up with optimal feature sets.\n- Deploys the machine learning algorithms into production environment.\n- Documents and presents the work in a complete and consistent way.\n- Produce clean, well-documented and efficient code\n- Handle automation, infrastructure and orchestration\n- Brainstorm new features and shape the product road map together with the founding team and clients\n\n**Requirements:**\n\n- 3+ years experience with machine learning, computer vision, & natural language processing required\n- Ability to lead the implementation of machine learning models from problem definition to serving it in production.\n- expertise in algorithms and data structure\n- expertise in building APIs and back-end business logic\n- experience working with Python/Django\n- experience with AWS, Google Cloud\n- experience working with React is preferred\n- Great communication & documentation skills in English - both oral and written\n- You are extremely proactive, independent and comfortable with proposing new ideas and holding your ground when you believe you are right.\n\n**Bonus:**\n\n- experience developing Enterprise SaaS products\n- experience with NLP models for processing biomedical, scientific or clinical text\n- You significantly contributed to building an early stage product\n- You were the first engineer or the lead engineer in a venture funded startup\n- experience working with docker/containers and\n- experience with data engineering tools and containerization\n- experience using system monitoring tools and automated testing frameworks\n\n**What We Value:**\n\n- A high bar for quality of code and quality of user experience\n- Ability to collaborate, iterate, and empathize with a variety of individuals (users and technical / non-technical stakeholders).\n- Extreme curiosity, growth mindset, and ability to learn quickly and work independently.\n- You are keen on learning new methodologies, technologies and tools; also, on evaluating their pros and cons. You ask questions; always eager to learn more. But you are also pragmatic.\n- Ability to think through customer requirements to come up with creative and high-impact ways of solving their problems \n\nBe sure to mention the words **OVAL DUTY LAUGH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $80,000 — $130,000/year\n \n\n#Location\n Worldwide


See more jobs at AMNESIA media

Visit AMNESIA media's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Ampcontrol


verified closed
Worldwide
 
$50k - $120k

data scientist

 

algorithm

 

electric vehicles

 

heuristic

Ampcontrol

ampcontrol.io

3,386 views

-3 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
## About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## 潃 You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nBe sure to mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $50,000 — $120,000/year\n \n\n#Location\n Worldwide


See more jobs at Ampcontrol

Visit Ampcontrol's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Shopify


verified closed
United States, Canada
 
$60k - $120k*

data science

 

senior

 

data scientist

 

azure

Shopify

Shopify

shopify.com

2,983 views

128 applied (4%)

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. Were the worlds fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopifys mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nBe sure to mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Senior and Data Scientist jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nUnited States, Canada


See more jobs at Shopify

Visit Shopify's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

AlphaSights


verified closed
Remote, New York
 
$60k - $120k*

data scientist

 

sql

 

data science

AlphaSights

AlphaSights

alphasights.com

3,963 views

547 applied (14%)

This job post is closed and the position is probably filled. Please do not apply.
**Experienced Data Scientist**\n\nAt AlphaSights, we search through hundreds of millions of professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organizations. Our mission is to provide access to dispersed, hidden, and underutilized knowledge.\n\nAlphaSights' Data Scientists help to build new products and improve search and discovery. Working collaboratively with teams across the company, both within Engineering and with stakeholders, you will apply Machine Learning, data analysis, and predictive analytics to help distinguish signal from noise. You will work with unique, proprietary data sets that offer a window onto the world economy. Ultimately, your work will power the next generation of features to help us build our knowledge on demand offering.\n\n**You will:**\n\n- Have a good degree of autonomy, owning the full spectrum of data driven projects\n\n- Build recommendation systems and predictive models\n\n- Work directly with stakeholders and teams generating custom data sets to fully understand the problem being modeled\n\n- Write production level code to expose the models that you build\n\n- Contribute to our open source projects\n\n**You might be a fit if you:**\n\n- Have 3+ years of industry experience\n\n- Have experience with Machine Learning (ML), Statistical Modeling, Recommendation Systems, or Natural Language Processing (NLP)\n\n- Have strong SQL skills and enjoy extracting and manipulating data\n\n**Who you would work with:**\n\n- You would join a dynamic, multinational, and diverse team who enjoy solving interesting problems in a collaborative environment\n\n- Your co-workers will include motivated recent graduates from top Computer Science schools as well as experienced industry leaders from companies such as Google and Amazon\n\nDon't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and wed love to [hear from you].\n\nFind out more: http://engineering.alphasights.com \n\nBe sure to mention the words **BIKE NOISE GUIDE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Scientist, Machine Learning and SQL jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nRemote, New York


See more jobs at AlphaSights

Visit AlphaSights's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

NannyML


verified closed
返 EU
 
$60k - $100k

data science

 

artificial intelligence

 

senior

NannyML

NannyML

nannyml.com

1,686 views

143 applied (8%)

This job post is closed and the position is probably filled. Please do not apply.
# About the Role\n\nWe are looking for a Senior Data Scientist to help us prototype and implement AI monitoring systems. You will work along with a team of experienced Data Scientists, Data Engineers and Software Engineers. You will be responsible for implementing AI monitoring algorithms. As we grow NannyML, we expect you to grow with us. We envision your path may grow from your position into ML Engineering Team Lead. You will get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\n## Responsibilities\n\n* Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.\n* Tackle new research and ML problems and implement efficient and effective solutions.\n* Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.\n* Help design and develop new internal tools to facilitate product development and algorithmic research.\n* Work closely with the founding to help define the technical roadmap.\n\n# About Us\n\nNannyML is an early stage [venture funded](https://www.eu-startups.com/2020/10/belgian-ai-monitoring-startup-nannyml-secures-e1-million-to-bridge-the-gap-between-ai-and-business/) start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions and a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that we extract from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n## Our values\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will be working closely with the founding team. The team previously founded a specialized machine learning company, where they became experts at building machine learning systems.\n\n# Basic Requirements\n\n* Ignore everything below (including the compensation) if you have significant hands-on experience in AI monitoring\n* 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data\n* Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case\n* Strong experience in Python data stack and ML deployment technologies\n* Software engineering best practices, version control, containerization and testing\n* Exceptional communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas and holding your ground when you believe you are right\n* You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally\n\n## Nice to haves\n\n* ML publications, popular technical blog or significant open source contributions\n* Familiarity with model risk management, model monitoring or model maintenance\n* Masters or PhD degree in a STEM related field\n* Experience working at a data-focused startup\n\n# Benefits\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Compensation: up to 85,000 EUR/year + equity \n\nBe sure to mention the words **COYOTE STAMP VIOLIN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $60,000 — $100,000/year\n \n\n#Location\n返 EU


See more jobs at NannyML

Visit NannyML's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Iterative


verified closed
Worldwide
 
$60k - $130k*

data science

 

git

 

open source

Iterative

Iterative

iterative.ai

25,097 views

2,312 applied (9%)

Iterative is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
Were a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWere seeking a Developer Advocate to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n- Craft blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n- Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n- Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n- Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n- Lead community-building events like virtual meetups and present at relevant industry conferences\n- Be analytical and data-driven in creating useful content for the community. Define, report and analyze metrics to understand our communitys needs and interests.\n\n## Skills were looking for\n- Experience in either data science or open source software.\n- Experience blogging or publishing technical content online. Bonus points if its related to open source or data science. \n- Experience building and/or managing a technical community.\n- Understanding of Git, Git-flow and CI/CD. You dont have to be a superuser, but we make tools built around Git and youll need to know how to use them.\n- Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital - platforms kindly and clearly.\n- Proficient written and spoken English is required. \n \n### Mega bonus skills\n- Knowledge of our tools and the MLOps space\n- A strong existing network in data science or open source\n\n### Perks\n- A fully remote job with a competitive salary and benefits package.\n- Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n- This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n- Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n- You will get a [DeeVee](https://twitter.com/DVCorg/status/1314668966082572288/photo/1). \n\nBe sure to mention the words **BUILD CRUISE ARMOR** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Git and Machine Learning jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n Worldwide


See more jobs at Iterative

Visit Iterative's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

NannyML


verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)
 
$49k - $78k

data

 

product

 

startup

NannyML

NannyML

nannyml.com

17,366 views

201 applied (1%)

This job post is closed and the position is probably filled. Please do not apply.
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n* Salary: 54,000 - 66,000 EUR/year\n \n\nBe sure to mention the words **ZOO SPATIAL MOTOR** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $49,000 — $78,000/year\n \n\n#Location\nEurope, Africa or the Middle East (Utc-2 to Utc+3)


See more jobs at NannyML

Visit NannyML's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Ampcontrol.io


closed
United States, Canada, North America, EU
 
$80k - $130k*

python

 

flask

 

rest api

 

Ampcontrol.io

ampcontrol.io

24,055 views

0 applied (0%)

Ampcontrol.io is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
## About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, an AI-powered software for electric vehicle (EV) charging.\n\nWe're team of engineers and energy experts, building the new way of EV charging. We help companies to install more charging stations for electric vehicles and to build intelligent electric fleet systems. Our cloud-software is used around the world and has received major industry prizes. We're based in Europe and in the U.S. and are venture backed with leading investors from around the world. We are a remote-first team with current members in Berlin, New York and other locations in Europe.\n\n([link to website](https://www.ampcontrol.io/))\n\n\n[ click to see all jobs ](https://www.notion.so/Open-Jobs-at-Ampcontrol-io-e2879a73ba344daea679556a7391fcaf)\n\n\n## Our Mission\n\nWe're on a mission to help the transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## The Role\n\n- You'll be responsible for building, maintaining and improving our backend system, including the core optimization system and our customer facing APIs\n- Develop our Python3/Flask API further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n- Work very closely with other developers, data scientists, product management and sales\n- Contribute to the improvement of our software architecture and development process\n- Keep in touch with new and upcoming technologies and be eager to offer new solutions\n\n## 潃 You have\n\n- More than 2 years of professional experience in software development\n- Solid experience in Python programming\n- Experience in at least one cloud computing platform\n- Experience in SQL\n- Working knowledge of advanced logging, monitoring, metrics and alerting\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Comfortable working in remote environments\n- Motivation to work on electric vehicles and sustainability\n\n## You're willing to learn about\n\n- IoT Hubs and IoT protocols\n- NoSQL and time-series databases\n- Docker and Kubernetes\n- The electric vehicle charging domain\n- Working with and transforming code written by data scientists\n\n \n\nBe sure to mention the words **LAMP PROBLEM GROUP** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Flask and Rest API jobs that are similar:\n\n $80,000 — $130,000/year\n \n\n#Location\nUnited States, Canada, North America, EU


See more jobs at Ampcontrol.io

Visit Ampcontrol.io's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

NannyML


verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)
 
$49k - $78k

python

 

infrastructure

 

dev

NannyML

NannyML

nannyml.com

25,685 views

211 applied (1%)

This job post is closed and the position is probably filled. Please do not apply.
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n \n\nBe sure to mention the words **OBEY SCIENCE HAMMER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $49,000 — $78,000/year\n \n\n#Location\nEurope, Africa or the Middle East (Utc-2 to Utc+3)


See more jobs at NannyML

Visit NannyML's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Visuary


closed
Worldwide
 
$30k - $60k

fullstack

 

dev

 

engineer

Visuary

Visuary

27,508 views

414 applied (2%)

This job post is closed and the position is probably filled. Please do not apply.
VISUARY (visuary.fr) is a Paris based start-up aiming to make the personalization of new homes accessible to everyone.\n\nFor this, we are developing a platform that allows buyers to view and personalize their accommodation online.\n\nWe have recently raised funds and are developing our business.\n\nWe work fully remote.\n\nYou will join a dynamic and international team for a mission where you will have an impact. We are looking for autonomous and qualified people, wishing to take part in the adventure and experience the growth of the company.\n\n嚜選遛\nWhat you would be working on:\nConverting DWG/DXF floorplans into our proprietary data format for web visualization and editing. The first step consists of wall detection from vector data in separate layers that contain only wall data. This task implies some geometry/math and data architecture challenges and maybe some machine learning in the long term.\nExample inputs: (only floor plans not facades) https://dwgmodels.com/1034-modern-house.html\nOutput: A JSON object where walls are represented as a set of connected node and items have position, size and type\n嚜璞n\nRequired Skills:\n\n- Math and geometry skills\n\n- Machine learning and AI experience appreciated\n\n- Experience in building robust web applications\n\n- Autonomus and proactive (we work remote)\n\n- Fluent in oral and written English\n\n- Full stack experience appreciated\n\n- Familiar with Git\n\n\n\nWe are a startup with ambition, and therefore flexible on working conditions but demanding on the quality of the code.\n\nDaily meetings at 2pm UTC.\n\nIf you are interested, please tell me about how you would proceed to fulfill the mission that is described when you apply. \n\nThere will be technical tests. \n\nBe sure to mention the words **COVER HUMOR SUSPECT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $30,000 — $60,000/year\n \n\n#Location\n Worldwide


See more jobs at Visuary

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Iterative


verified closed
Worldwide
 
$60k - $130k*

git

 

data science

 

developer relations

Iterative

Iterative

iterative.ai

15,863 views

250 applied (2%)

Iterative is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
Were a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ?). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWere seeking a **Technical Community Manager** to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n\n* Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n* Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n* Make blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n* Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n* Lead community-building events like virtual meetups and our ambassador program. \n* Be analytical and data-driven in building and nurturing the community. Define, report and analyze metrics to understand our communitys needs and growth. \n\n\n## Skills were looking for\n* Experience in either **data science or open source software**.\n* Experience building and/or managing a ** technical community**.\n* Understanding of Git, Git-flow and CI/CD. You dont have to be a superuser, but we make tools built around Git and youll need to know how to use them.\n* Experience blogging or publishing technical content online. Bonus points if its related to open source or data science. \n* Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital platforms kindly and clearly.\n* Proficient written and spoken English is required. \n \n**Mega bonus skills**\n* Knowledge of our tools and the MLOps space\n* A strong existing network in data science or open source\n\n## Perks\n* A fully remote job with a competitive salary and benefits package.\n* Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n* This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n* Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n* You will get a DeeVee.\n\n \n\nBe sure to mention the words **GRASS EXCESS UNVEIL** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Git, Data Science and Machine Learning jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n Worldwide


See more jobs at Iterative

Visit Iterative's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

neuronbits


verified closed
Worldwide

cto

 

executive

 

team lead

 

agile

neuronbits

neuronbits.com

3,523 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- 80k - 120k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs CTO at Neuronbits, you will be constantly challenged with solving complex technical problems while mentoring the Engineers team and establishing standards on technological best practices. You will get to communicate and work closely with product teams and get to know our cutting edge technologies. You will be ultimately responsible for the architecture and the results of the engineering team, including product delivery milestones, site reliability and uptime.\n\n\n**Primary responsibilities:**\n\n- Develop technical aspects of the companys strategy and products to ensure alignment with its business goals\n\n- Provide leadership and direction to the software development and data science teams.\n\n- Actively participate in the hiring process, ensuring that only the best talent (attitude + tech skills) join the teams.\n\n- Set standards in coding, development, integration.\n\n- Supervise system infrastructure to ensure functionality and efficiency\n\n- Implement quality assurance, data access and protection processes principles.\n\n- Ensure that projects are accurately estimated and delivered on schedule\n\n- Code review and code quality control\n\n- Reduce the risk of technological breaches and protect sensitive digital information\n\n\n**Ideally, youll have:**\n\n- Experience leading teams of engineers who build end-user products and the backend services that power them. Built complex products from scratch.\n\n- Strong technical skills, including extensive software development experience with Saas products.\n\n- Exceptional written and verbal communication skills, with an aptitude to convey clear thoughts and ideas.\n\n- A track record of delivering on ambitious goals.\n\n- Worked in a startup environment. Youre comfortable with ambiguity and change.\n \n\nBe sure to mention the words **MARRIAGE ECOLOGY SCRUB** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n Worldwide


See more jobs at neuronbits

Visit neuronbits's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

neuronbits


verified closed
Worldwide

artificial intelligence

 

full stack software development

 

full stack

neuronbits

neuronbits.com

3,066 views

-1 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior Software Engineer you will work alongside with other engineers in the team, the DevOps Architect and the Software Team Lead to build an awesome, highly usable, performant and scalable frontend/backend that brings the best user experience to our customers.\n\n\n**Primary responsibilities:**\n\n- Collaborate with the Product Owner and Software Team Lead to refine product requirements and build solid software specifications.\n\n- Support and grow Neuronbits applications and platforms by enhancing existing or developing new components which can be reused across of all our products.\n\n- Support a cross-functional team in which frontend and backend activities can be shared among all members.\n\n- Create and execute test cases (Unit Test and End to End).\n\n- Support deployment of new releases to multiple customers worldwide.\n\n\n**Ideally, youll have:**\n\n- Good communicator, good documentation skills, team player.\n\n- Self-motivated, self-disciplined and result-oriented\n\n- Strong problem solving and troubleshooting skills\n\n- BS or MS degree in Computer Science or related field.\n\n- 10+ years of experience in a similar role\n\n- Passion for quality development.\n\n- Knowledge of best practices for the full sw development lifecycle, including agile, coding standards, source control management, build processes, testing, release management and operations\n\n- Experience with web UI architecture, UX design and application development.\n\n- Solid knowledge of JavaScript, JavaScript Framework, TypeScript and HTML/CSS\n\n- Experience with React, Redux.\n\n- UnitTest (e.g. Karma, Jasmine, etc...)\n\n- Experience with Python strong Java/C++ developers willing to jump to Python will also be considered.\n\n- Experienced with python-based web frameworks, such as Django or Flask\n\n- Experience with MySQL, ORM (e.g. SQLAlchemy)\n\n- Experience with REST/API \n\nBe sure to mention the words **ENDLESS SUBMIT REGRET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n Worldwide


See more jobs at neuronbits

Visit neuronbits's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

neuronbits


verified closed
Worldwide

artificial intelligence

 

engineer

neuronbits

neuronbits.com

3,197 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- 40 - 60k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs Machine Learning Engineer at Neuronbits you will support us to improve the quality of our data and possibilities to analyze our data to get a competitive advantage.\n\n\n**Primary responsibilities:**\n\n- Applies supervised and unsupervised learning techniques for solving pattern recognition problems (detection, classification, regression).\n\n- Maintain and improve machine learning models in production and build new ones.\n\n- Understands and interprets data to come up with optimal feature sets.\n\n- Prepares datasets to train and validate models.\n\n- Deploys the machine learning algorithms into production environment.\n\n- Documents and presents the work in a complete and consistent way.\n\n\n**Ideally, youll have:**\n\n- At least 3 years of experience in Machine Learning / Data Science.\n\n- Good knowledge and proven experience in supervised/unsupervised learning in different applications: image recognition, classification, recommendation, etc.\n\n- Proven experience in deploying and maintaining Machine Learning algorithms in production.\n\n- Solid programming skills in Python, ++ and/or Java\n\n- Experience in Apache Spark with Scala\n\n- Background on Hadoop ecosystem (Hive, Sqoop, Oozie....).\n\n- Knowledge on databases (SQL and NoSQL). \n\nBe sure to mention the words **BIRTH CURTAIN HARVEST** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n Worldwide


See more jobs at neuronbits

Visit neuronbits's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

neuronbits


verified closed
Worldwide

nlp

 

artificial intelligence

 

dev

neuronbits

neuronbits.com

2,629 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior NLP (Natural Lanague Processing) engineer at Nueronbits you will be responsible for research and development of software which will produce analytics over hundreds of thousands of documents each day, all in real-time. You will be working within a skilled development team, with experts in languages such as Python, C++ and Java, also you will also be working closely with our Data Science team.\n\n\n**Primary responsibilities:**\n\n- Design and developing scalable Machine Learning & AI solutions for processing big amounts of textual data.\n\n- Handle multiple sources of data and effective data manipulation, automating it where possible.\n\n- Research state-of-the-art NLP models.\n\n- Implement NLP models and ensure that they will work with low latency and high accuracy in real-time.\n\n- Write and maintain tools that help to create, deploy, evaluate, and monitor ML models in an effective manner.\n\n\n**Ideally, youll have:**\n\n- Degree in Computer Science, Engineering or a related subject.\n\n- Good knowledge of Natural Language Processing techniques and models.\n\n- Experience designing and implementing Neural Networks.\n\n- Experience working with TensorFlow / Keras or similar tools.\n\n- Adaptable and willing to learn new technologies independently.\n\n- Good documentation and communication skills. \n\nBe sure to mention the words **OMIT DESTROY LATER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n Worldwide


See more jobs at neuronbits

Visit neuronbits's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

InReach Ventures


verified closed
UK or Italy

ai

 

data

 

data science

InReach Ventures

InReach Ventures

inreachventures.com

4,471 views

283 applied (6%)

This job post is closed and the position is probably filled. Please do not apply.
InReach is changing how VC in Europe works, for good. Through data, software and Machine Learning, we are building an in-house platform to help us find, reach-out to and invest in early-stage European startups, regardless of the city or country theyre based in.\n\n\n\nWe are looking for a machine learning engineer to lead in the continued development of InReachs machine learning capabilities. This involves cleaning / wrangling / merging / processing the data on companies and founders from across Europe, building algorithms to find new opportunities, and the pipelines for continuous improvement.\n\n\n\nIt is important to us that candidates be passionate about helping entrepreneurs and startups. This is our bread-and-butter and we want you to be involved.\n\n\n\nThis is a remote-first role, whether you're in the office in London or working remotely, so we are looking for someone with excellent written and spoken communication skills. InReach is a remote-first employer and we are looking to this hire to help us become an exceptional place to work for remote employees.\n\n\n\n**Background Reading**\n\n* [ InReach Ventures, the 'AI-powered' European VC, closes new 53M fund](https://techcrunch.com/2019/02/11/inreach-ventures-the-ai-powered-european-vc-closes-new-e53m-fund/?guccounter=1)\n\n* [The Full-Stack Venture Capital](https://medium.com/entrepreneurship-at-work/the-full-stack-venture-capital-8a5cffe4d71)\n\n* [Roberto Bonanzinga starts InReach Ventures with DIG platform](https://www.businessinsider.com/roberto-bonanzinga-starts-inreach-ventures-with-dig-platform-2015-11?r=US&IR=T)\n\n* [Exceptional Communication; our guidelines for remote working](https://www.craft.do/s/Isrjt4KaHMPQ)\n\n\n\n**Interview Process**\n\n* 15m video chat with Ben, CTO to find out more about InReach and the role\n\n* 2h data pipeline technical test working alongside Ben\n\n* 2h data science technical test working alongside Ghyslain, Product Manager\n\n* 30m architectural discussion with Ben, talking through the work you did on the pipeline\n\n* 30m data science discussion with Ghyslain, talking through the data science work\n\n* 2h interview with the different team members from across InReach. Were a small company so its important we see how well all work together - not just the tech team!\n\n# Responsibilities\n * Creatively and quickly coming up with effective solutions to undefined problems\n\n* Choosing technology that is modern but not hype-driven\n\n* Developing features and tests quickly with good, clean code\n\n* Researching and experimenting on algorithms in a structured fashion, using engineering discipline\n\n* Being part of the wider development team, reviewing code and participating in architecture from across the stack\n\n* Communicating exceptionally, both asynchronously (written) and synchronously (spoken)\n\n* Helping to shape InReach as a remote-first organization \n\n# Requirements\n**Skills**\n\n* Excellent spoken and written English\n\n* Experience working for a remote organization or be able to compellingly describe why you'll be great at it!\n\n* Great time management and communication\n\n\n\n**Technologies**\n\n* Python3\n\n* Jupyter Notebooks\n\n* Pipenv\n\n* Python Unittest\n\n* Postgres\n\n* Pandas\n\n\n\nNone of these are a prerequisite, but help:\n\n* SQS\n\n* Dynamodb\n\n* Scikit Learn\n\n* Pandas\n\n* AWS Lambda\n\n* Docker\n\n* Numpy\n\n* PyTorch \n\nBe sure to mention the words **GODDESS HOPE PULSE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\nUK or Italy


See more jobs at InReach Ventures

Visit InReach Ventures's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Vendrive


verified closed
綾 US
 
$60k - $130k*

golang

 

postgresql

 

data science

 

big data

Vendrive

Vendrive

vendrive.com

4,491 views

327 applied (7%)

This job post is closed and the position is probably filled. Please do not apply.
# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a **Backend Software Engineer** with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n\n# Responsibilities\n * Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment \n\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.) \n\nBe sure to mention the words **CRITIC GARBAGE WANT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Golang, PostgreSQL and Data Science jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n綾 US


See more jobs at Vendrive

Visit Vendrive's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Iterative


verified closed
Worldwide

open source

 

python

 

dev tools

 

dvc

Iterative

Iterative

iterative.ai

29,895 views

-2 applied (0%)

Iterative is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n - Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\nBe sure to mention the words **OCCUR LOUD GLOVE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n Worldwide


See more jobs at Iterative

Visit Iterative's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

dploy.ai


closed
返 EU

artificial intelligence

 

paas

 

golang

dploy.ai

dploy.ai

dploy.ai

3,845 views

283 applied (7%)

This job post is closed and the position is probably filled. Please do not apply.
dploy.ai is building an end-to-end platform that brings fast, secure and regulatory compliant AI deployment to our customers' doorstep. \n\nWe are currently looking to grow our time with three Golang engineers with a focus on back-end development. As a Golang developer you will play an important role in building out the foundation of this new platform.\n\nYou\n* are a technical allrounder with a sound knowledge of Golang, cloud services or a strong proven ability to rapidly pick up new languages/frameworks\n* believe in the Twelve-Factor App principles\n* are familiar with the principles of machine learning\n* keep close track of technical developments and know your way around the open source community\n* like to share your technical know-how with colleagues and clients\n* are fluent in English\n* are located in a European timezone\n\nYou get\n* the opportunity to work on a state-of-the-art Golang-based stack\n* the possibility to work from anywhere\n* the satisfaction of working on a technically-challenging (B2B) product\n* a no-nonsense work environment with passionate and smart colleagues\n* a unique opportunity to be an important contributor in a fast-growing, ambitious startup\n\nSounds awesome? Then apply now! If you have any questions in the meantime dont hesitate to contact Bart via [email protected] or via phone at +32 471 72 31 22.\n\n> dploy.ai is a dataroots brand \n\nBe sure to mention the words **EYE THEY TOWER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n返 EU


See more jobs at dploy.ai

Visit dploy.ai's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Netdata Inc.


closed
UTC -3 to UTC +5

deep learning

 

statistical models

 

senior

Netdata Inc.

3,573 views

194 applied (5%)

This job post is closed and the position is probably filled. Please do not apply.
Netdata is looking for a Senior Machine Learning Engineer with extensive experience in building ML pipelines and highly-available production-grade services powered by sophisticated deep learning, statistical or other machine learning methodologies and models. Help us build the most advanced anomaly detection, forecasting, incident prevention and alerting system in the world!\n\nAs a Senior Machine Learning Engineer at Netdata, you will be responsible for building anomaly detection, forecasting and incident prevention, classification and identification systems to power both our open source netdata package and our commercial cloud offering. To do this you will need to explore and experiment with both unsupervised anomaly detection on streaming data, as well as supervised anomaly detection using ensembles of deep-learning and statistical approaches.\n\n**Why join Netdata**\n\n* We are a team of industry veterans and senior engineers that prioritize performance and ease of use over anything else.\n* We embrace remote work and great work-life balance.\n* We are solving hard problems that affect thousands of organisations worldwide.\n* We are deeply committed to Open Source and love our community.\n* We deeply care about system performance.\n\n**When you join Netdata, you can expect**\n\n* A competitive salary.\n* A generous stock plan.\n* To join a venture-backed startup working with some of the most sophisticated investors of Silicon Valley.\n* To be part of our world-class team and interact with an amazing community.\n* To see first-hand how to grow and succeed in an engineering-first, open source-based company.\n* To find a culture that rewards doers.\n\n*Netdata is an Equal Opportunity Employer. We are committed to providing an inclusive work environment free of discrimination and harassment for everyone, regardless of race, color, religion, national or ethnic origin, sex, age, sexual orientation, gender identity, disability, sexual orientation, marital status, military service or other non-merit factor.*\n\n# Responsibilities\n * Build ML/statistical models applicable to large-scale monitoring and telemetry applications, including but not limited to detecting anomalies based on streaming data, in batch, whether that data is annotated (supervised) or raw (unsupervised)\n* Build the accompanying algorithms and pipelines capable of training, validating, testing and serving the models you designed\n* Bulid highly-available services to serve the models on production\n* Work with our backend engineers to integrate your models throughout Netdata cloud ecosystem\n* Work with our open source community to integrate your models in the open source Netdata agent\n* Stay up-to-date on emerging technologies. \n\n# Requirements\n**Required experience**\n\n* A Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics or equivalent. (Ph.D or higher degrees are highly preferred)\n* 3+ years of experience with Deep Learning and/or Anomaly Detection in production systems. We expect you to be a competent engineer and comfortable with understanding and implementing high-availability and high-performance systems.\n* Familiarity with Tensorflow and/or PyTorch.\n* Familiarity with Python for the creation of ML models and pipelines.\n* Self motivated, conscientious, with a problem-solving, hands-on mindset.\n* Perfectionist where it matters, but also pragmatic, with effective time management skills.\n* Team player, eager to help.\n* Excellent command of spoken and written English\n\n**Preferred experience**\n\n* Familiarity with distributed systems, modern software architectures and environments, including Orchestrated Containers (e.g. Kubernetes), Microservices etc.\n* Familiarity with Systems Monitoring concepts, tooling and frameworks\n* Experience in building Anomaly Detection systems\n* Open source contributor\n* Agile Development Methodology \n\nBe sure to mention the words **JUMP WAVE WALL** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\nUTC -3 to UTC +5


See more jobs at Netdata Inc.

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

causaLens


verified closed 
$80k - $130k*

python

 

big data

 

numpy

causaLens

causaLens

5,500 views

-3 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
**Summary **\nWe are looking for a motivated and high-achieving Senior Python Developer based anywhere in Europe to join the team working on an exciting new Big Data/Machine Learning platform. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company. \n\n**The Company **\ncausaLens is a deep-tech startup based in London backed by prominent VCs. We are on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. We call it the CLPU (causaLens Predictive Unit). Our technology helps large organisations optimise business outcomes at scale.\nVisit www.causaLens.com to find out more.\n\n**Benefits: **\nSuccessful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship, and opportunities for professional development.\n\n# Responsibilities\n Developing an automated machine learning platform for quantitative finance. The application stack is Python, Numpy, Scipy, Sklearn, Keras, Django, Celery, Postgres, AWS, GCP. \n\n# Requirements\n* Smart, capable and can write clean code\n* Ability to design and architect high-performance distributed software\n* Development experience in at least one scripting language - preferably Python\n* Interest in machine learning/big data (prior experience plus)\n* Knowledge of the Git version control system\n* Good organisational skills both in management of time and code\n* Ability to effectively work remotely (from home or a coworking space) \n\nBe sure to mention the words **TATTOO RAISE DROP** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Big Data and Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at causaLens

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Stripe


verified closed
North America
 
$80k - $130k*

fintech

 

finance

 

engineer

Stripe

Stripe

3,754 views

301 applied (8%)

This job post is closed and the position is probably filled. Please do not apply.
*The Merchant Intelligence group is responsible for Stripes at-scale understanding of the businesses and people that use us. This is a priority both to protect Stripe and also to optimize our products. We work across the technical stack: from machine learning over our users data to integrating into Stripes products to building new products for our users. \n*\nStripe builds economic infrastructure for the internet, supporting businesses worldwide ranging from fledgling upstarts to Fortune 500s. These businesses place significant trust in Stripe to accelerate their success. This makes the user-facing teams at Stripe mission critical: these teams provide fast, accurate answers in the context of our users businesses across phone, email, and chat.\n\n# Responsibilities\n **You will:**\n* Design machine learning platforms and pipelines for training and running machine learning models that improve the efficiency and accuracy of our support operations. This could involve:\n* Build a predictive model that uses the context of the conversation and user to help us fast track a user to the best channel (phone, chat, or email) and person for help\n* Improve the accuracy of our interactions by building a workflow suggestion model that helps surface the most relevant workflow for any given question, which is especially important as our content grows in size\n* Write simulation code using Scalding to run MapReduce jobs on our Hadoop cluster to help us understand what would happen across different segments if we changed how we action our models\n* Collaborate with our machine learning infrastructure team to build support for new model types into our scoring infrastructure \n\n# Requirements\n**Were looking for someone who has:**\n* An advanced degree in a quantitative field (e.g. stats, physics, computer science) and some experience in software engineering in a production environment\n* 4+ years industry experience doing software development on a data or machine learning team\n* Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis\n* The ability to thrive in a collaborative environment involving different stakeholders and subject matter experts\n* Pride in working on projects to successful completion involving a wide variety of technologies and systems\n* Comfort working directly with your users \n\nBe sure to mention the words **MISERY RACCOON PERMIT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Fintech, Machine Learning and Finance jobs that are similar:\n\n $80,000 — $130,000/year\n \n\n#Location\nNorth America


See more jobs at Stripe

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

CVEDIA


verified closed
返 EU
 
$70k - $110k*

unity3d

 

hlsl

 

rendering

 

game dev

CVEDIA

CVEDIA

cvedia.com

2,168 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
CVEDIA helps develop and deploy autonomous systems today. Our suite of tools substantively accelerates the time to train, test and validate neural network/deep learning algorithms. Our customers are driving the future of autonomous application and we are thrilled to help fuel their efforts.\n\nWe are seeking a remote developer responsible for developing features for virtual sensors based on Unity engine. Your primary responsibilities will be to implement shader and scripting functionality translating design ideas, concepts, and requirements into highly performant code. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.\n\nResponsibilities\nTranslate design specification into functional features\n\nCommunicate with other team members to establish effective pipeline and integrate media assets\n\nDesign, build, and maintain efficient, reusable, and reliable code\n\nEnsure the best possible performance, quality, and responsiveness of applications\n\nIdentify bottlenecks and bugs, and devise solutions to address and mitigate these problems\n\nHelp maintain code quality, organization, and automatization\n\nSkills\nExcellent knowledge of Unity, including experience with shaders, 3D concepts,rendering pipeline, scripting, textures\n\nExperience with HLSL\n\nExperience with compute and geometry shaders\n\nExperience with CUDA is a plus\n\nExperience with rendering debug tools, such as Frame debugger, RenderDoc, Pix and NSight\n\nExperience optimizing memory and space usage\n\nPrior experience with a well-known mobile title or AAA titles are a significant asset\n\nAbility to constantly learn and stay in touch with evolving 3D standards and development technologies\n\nStrong understanding of object-oriented programming\n\nFamiliarity with current design and architectural patterns\n\nKnack for writing clean, readable, and easily maintainable code\n\nProficient knowledge of code versioning tools, such as PlasticSCM\n\n\nWhat we offer:\n\nJob location is in Cyberspace.\n\n- Communication with the all team members is done through online tools\n\n- Salary will be paid once a month with a wire transfer\n\n- Job capacity: Full time - Monday - Friday (8 hours daily)\n\nHow should you apply for this job?\n\nPlease state on the mail subject the job position you are applying for.\n\nOnly applications written in English are going to be processed!\n\nDue to time zone difficulties Only applications that are based in Europe will be processed.\n\nPlease mention your country of origin in the email. \n\nPlease send your applications to jobs at cvedia dot com\n\nMore information about us: https://syncity.com \n\nBe sure to mention the words **DIVORCE GOSPEL SLIDE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Game Developer, Developer and Machine Learning jobs that are similar:\n\n $70,000 — $110,000/year\n \n\n#Location\n返 EU


See more jobs at CVEDIA

Visit CVEDIA's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Ofer Eshed


closed 
$65k - $100k*

technical writer

 

api

 

documentation

 
Ofer Eshed

Ofer Eshed

1,842 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
CVEDIA is a funded Start-Up that helps develop and deploy autonomous systems today. Our suite of tools substantively accelerates the time to train, test and validate neural network/deep learning algorithms. Our customers are driving the future of autonomous application and we are thrilled to help fuel their efforts.\n\nCVEDIA is seeking a Technical Writer that has experience or advanced knowledge of machine learning to create compelling, audience-focused content about our platform, our products, and the advanced technologies powering them. We are looking for someone who can draft original, well-researched, and in-depth content about complex technological concepts.\n\nThe Senior Technical Writer will play a vital role in getting our customers up and running quickly and making sure that the details of our products are clearly described and easy to follow. You will also be responsible for developing and maintaining internal documentation for CVEDIA. You will be responsible for the end-to-end creation and publication of high quality content, user guides, customer release notes for technical audiences.\n\nYou are comfortable multi-tasking in a fast-paced, ever-changing environment. You understand writing for a wide range of business and technical audience in addition to being a creative and analytical problem solver. The ideal candidate must have both a technical background that enables them to easily interact with software developers and a demonstrated ability to deliver high-quality technical publications.\nKey Responsibilities\nWork directly with development teams to produce accurate, clear and concise content.\nParticipate in all aspects of the documentation process, from planning to content maintenance.\nWrite end-user and internal-user content that describe CVEDIA functionality, tools, systems, and processes.\nConduct technical and editorial reviews of CVEDIA documentation content.Basic Qualifications.\n\nRequired experience\nStrong grammar skills.\nStrong written and verbal communication skills.\nA minimum of 5 years in a technical writing role with previous experience or knowledge of machine learning.\nProven experience designing and delivering business-oriented documentation.\nExperience working directly with product development teams.\nExperienced using multiple documentation tools to develop base templates and manipulate output styles.\nExperience with publishing systems.\nPreferred qualifications\nDegree in English, Technical Writing, Computer Science or related field highly desirable.\nIs considered a plus\nA thorough understanding of software development (C++, Python).\nPrevious experience working in an agile environment.\nPassion to thrive in a fast-paced, ever-changing environment.\nA proactive and open-minded attitude to resolving problems and delivering results.\nExperience producing video tutorials and presentations.\nStrong attention to detail.\nStrong interpersonal skills.\nWhat we offer\nJob location is in Cyberspace.\n20 days of paid holidays on top all bank state days and Holidays\nJob capacity: Monday - Friday (8 hours daily)\nFlexible working hours to come toward personal needs.\nSalary will be paid once a month by wire transfer.\n\nAdditional requirements\n\nPlease state on the mail subject the job position you are applying for.\nPlease send us a few samples of your documentations, relevant to CVEDIA\nOnly applications written in English are going to be processed!\nDue to time zone difficulties, only applications that are based in Europe will be processed.\nPlease mention your country of origin in the email.\nPlease send your applications to jobs at cvedia dot com.\n\nMore information about us: https://syncity.com\n \n\nBe sure to mention the words **PIANO REJECT TISSUE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to API, Documentation and Machine Learning jobs that are similar:\n\n $65,000 — $100,000/year\n


See more jobs at Ofer Eshed

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$78k - $130k*

engineer

 

engineering

This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like tothink pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day andhave over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications.Check out more on theDoximityengineering blog.\n\n**How youll make an impact:**\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximitys products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximitys data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What were looking for:**\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWere thrilled to be named theFastest Growing Company in the Bay Area,and one ofFast Companys Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. Were driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare systemand love creating technology that has a real, meaningful impact on peoples lives. To learn more about our team, culture, and users, check out ourcareers page,company blog, andengineering blog. Were growing fast, and theres plenty of opportunity for you to make an impactjoin us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, geneticinformation, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\nBe sure to mention the words **MANAGE GAS SPREAD** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer and Engineering jobs that are similar:\n\n $77,500 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Synergy Sports Technology


closed 
$70k - $120k*

c#

 

c sharp

 

mongodb

 

nosql

This job post is closed and the position is probably filled. Please do not apply.
Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks a talented Software Engineer to join our team on a contracting basis.\n\nThis position offers a tremendous opportunity to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 college, professional, and international teams. Our systems are highly complex and contains petabytes of data and video requiring extremely talented engineers to maintain scale and efficiency of its products.\n\nAs a member of the Synergy team, its engineering team will contribute to the ongoing development of Synergys revolutionary online sports data and video delivery solutions. Building applications such as:\n* Client Analytic Tools\n* Video Editing and Capture Tools\n* Data Logging Tools\n* Operational Game, Data and Video Pipeline Tools\n* Backend Data and Video Platforms\n\nSynergys work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in conversational English. Synergy development staff work in a deadline-oriented, demanding, non-standard environment in which personal initiative and a strong work ethic are rewarded. Good communication skills, self-motivation, and the ability to work effectively with minimal supervision are crucial. Nonstandard working hours may be required, as Synergy operates on a 24x7 system for clients, with associated deadlines and requirements. Pay rate is dependent on experience.\n\n**Information for all Positions:**\n* All Positions will last for roughly a year with some engineers lasting even longer if they are talented, we will keep them for future projects.\n* Engineers should be available for phone calls M-F from 7am to 10am Pacific Time zone. There will usually be 1 or 2 phone calls each week that are 30 to 90 minutes each.\n* All other work hours availability is up to the engineer to work when it is a best fit and balance for them to communicate with their team and their personal commitments outside of work.\n* Working an average of 40 hours per week is expected except in rare or temporary circumstances. Each week can be flexible and up to the engineer as to when and how much they work per day. It is ok to work heavier and lighter weeks if desired based upon the engineers preference of when and how to work. But a preference is to average 40 hours per week.\n* No travel is required\n\n**Team Objectives:**\n* A candidate joining the Data Platform team can expect to work on the following types of projects:\n* Creating internal and external APIs to support both data and video\n* Building complex data models supporting the business rules of sports\n* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure\n* Refactoring code to a .NET Core environment\n* Scaling out current systems to support new sports\n* Building build and test automation systems\n* Building complex reporting data structures for analytical systems\n\n**Required Skillsets:**\n* SQL or NoSQL database (MongoDB Preferred)\n* C# (Latest version with a preference to .NET Core) \n\nBe sure to mention the words **VAGUE MANGO SLENDER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to C#, C Sharp and Mongo jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Synergy Sports Technology

Visit Synergy Sports Technology's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$70k - $130k*

data science

 

healthcare

 

engineer

This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. \n\n**How youll make an impact:**\n\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximitys products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximitys data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What were looking for:**\n\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWere thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Companys Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. Were driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on peoples lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. Were growing fast, and theres plenty of opportunity for you to make an impactjoin us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button \n\nBe sure to mention the words **BOIL HOOD GENTLE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Machine Learning and Healthcare jobs that are similar:\n\n $70,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Bothouse


closed 
$60k - $130k*

data science

 

ai

 

exec

Bothouse

1,746 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
潘 [Machine Learning/AI Lead needed!] 潘\n--------------------------------------------------------------\n\n Full-time\n\n Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n $50 - $90 an hour\n\n Duration: 4 - 12 months with the ability to extend\n\n Start: beginning of August 2018\n\n喫 2 week-long visit in Oslo at the beginning of the project\n\n 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYoull be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace clients entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n Contact: [email protected] \n\nBe sure to mention the words **MIND EXERCISE RACCOON** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Machine Learning and AI jobs that are similar:\n\n $60,000 — $130,000/year\n


See more jobs at Bothouse

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$80k - $130k*

python

 

data science

 

senior

This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximitys social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. Were looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\nHow youll make an impact:\n\n-Apply NLP methods and build deep neural networks to personalize medical content to our clinician -members.\n-Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n-Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n-Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\nWhat were looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience building deep neural networks in support of recommendation systems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark).\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience applying reinforcement learning to industry problems.\n\nAbout Doximity\n\nWere thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Companys Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. Were driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on peoples lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. Were growing fast, and theres plenty of opportunity for you to make an impactjoin us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nBe sure to mention the words **TRIM MUFFIN LIGHT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Machine Learning and Data Science jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

komoot


closed 
$70k - $120k*

engineer

 

backend

komoot

1,315 views

19 applied (1%)

This job post is closed and the position is probably filled. Please do not apply.
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we're good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times --- and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.\n\nTo help us continue to grow, we're looking for an experienced software engineer who appreciates well-crafted and unit-tested code and knows how to deploy and monitor services in production. But that's not all. We're looking for someone who welcomes data challenges and tackles these head-on; finding and implementing the best solution through effective research and evaluation. Someone who understands that no single solution is perfect, accepting instead that it'll improve with every optimization iteration. Sounds familiar? Then komoot is the place for you.\n\nWe are looking for an experienced backend engineer to help us solve a range of challenges, including image quality classification, the matching of user-generated content with open data, e-bike battery level predictions and the improvement of our recommendation systems.\n\n**Your key responsibilities**\n\n- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.\n\n- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.\n\n- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.\n\n- Use the AWS ecosystem to build resilient and high-performing systems.\n\n**Why you will love it**\n\n- You'll work on a global product that inspires millions of users.\n\n- You'll get system access on your first day, as we know you are a smart and responsible engineer.\n\n- You'll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).\n\n- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.\n\n- We have a wide range of diverse challenges, in particular in the GIS domain.\n\n- We believe good ideas count more than hierarchies.\n\n- You'll work together with enthusiastic engineers, hikers and cyclists.\n\n- You'll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n\n- We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies between the time zones UTC-1 and UTC+3.\n\n**You will be successful in this position if you**\n\n- Are highly self-driven, responsible and keen to learn and improve.\n\n- Know your toolkit: git, ssh, bash, junit, jenkins and docker.\n\n- Have deep experience (4+ years) in developing software running under high load\n\n- Possess professional experience in Java and Python.\n\n- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.\n\n- Have strong analytical skills.\n\n- Love to tune, test, simulate and evaluate solutions to unusual problems.\n\n- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.\n\n**Sound like you?**\nThen send us the following:\n\n- Your CV.\n\n- A write-up explaining who you are and why you are interested in working at komoot.\n\n- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).\n\n- Something that shows us a little more about what you're interested in, be it your Twitter/Kaggle account or your blog. \n\nBe sure to mention the words **DOVE FALSE ANOTHER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer and Backend jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at komoot

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$80k - $130k*

git

 

python

 

engineer

This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nHow youll make an impact:\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximitys products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximitys data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nWhat were looking for:\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nAbout Doximity\n\nWere thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Companys Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. Were driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on peoples lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. Were growing fast, and theres plenty of opportunity for you to make an impactjoin us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nBe sure to mention the words **BARELY INVOLVE INNER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Git, Python and Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$80k - $130k*

python

 

data science

 

senior

This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximitys social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\nHow youll make an impact:\n\n-Build link prediction models to recommend colleagues for our members to connect and engage with (the people you may know problem) to increase user engagement across Doximitys platforms.\n-Leverage data from Doximitys social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n-Discover trends and new business opportunities from physicians medical claims and referral networks.\n-Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\nWhat were looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience applying graph theory, analytics, and processing to industry problems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark)\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\nAbout Doximity\n\nWere thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Companys Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. Were driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on peoples lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. Were growing fast, and theres plenty of opportunity for you to make an impactjoin us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nBe sure to mention the words **SKIN PROUD MAJOR** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Machine Learning and Data Science jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Invisible Technologies


closed 
$60k - $108k*

javascript

 

amazon

 

node

 
Invisible Technologies

Invisible Technologies

inv.tech

1,128 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
Invisible is a process automation company.\nRead about our company here: [https://inv.tech/summary](https://inv.tech/summary)\nApply for our job here: [https://inv.tech/go](https://inv.tech/go)\nJoin our ~20 person startup, grow your engineering skills, get significant equity, share in profits.\nBy the way, if you're not a fit but you know someone who is, pass this along. We offer cash for any qualified referrals.\n## Requirements:\nDeep operational understanding of JavaScript.\nExperience in different programming paradigms, especially functional programming.\n## Nice to have:\nSpecialty in Security\nSpecialty in Machine Learning\n## Benefits:\nWe work 100% remotely. Our team is distributed all over the world.\nAside from scheduled meetings (which we try to minimize), we dont care about your work hours.\nWe deeply value personal growth and will help you advance in whatever direction(s) you want.\nWe are a [partnership](https://inv.tech/partners), so you will earn equity and share profits.\nInterested? Fill out this form to say hello: https://inv.tech/go\n# Longer version\n## General traits:\n- Demonstrated personal initiative in the past (leadership roles in extra-curriculars, side projects)\n- High introspection (via meditation practice, journaling, art, travel, or non-required writing)\n- Servant mindsetHow can I take care of this on behalf of others for the benefit of all?\n- Growth mindsetproblems are opportunities, impossibilities are challenges, life is best outside of the comfort zone\n- Lack of ego, a hunger for feedback and improvement\n- Abundance mindsetgratitude for what you have, preference for non zero-sum games\n- Personal philosophy that can be clearly stated and that can be questioned and examined\n- Contrarians eyewhat are others missing here? What doesnt make sense? What is overlooked because its obvious?\n- Systems level thinkingability to reason on the micro, macro, and especially meta levels in one system or multiple.\n- Design thinkingHow is my framing of the situation affecting the users experience? What other ways could I combine these elements with same effect?\n- Detail orientation and precise task habits\n## Bonus if you have:\nPast or future interest in the works of Ed Catmull, Peter Thiel, Kevin Kelly, Ray Dalio, John Keats, Douglas Hofstadter, Joseph Campbell.\nExperience working remotely.\nExperience with startups.\nInterest in mental models and a few favorites of your own.\n## On Experience:\nNo specific kind of experience is required, per se. Experience is neither sufficient nor necessary when trying to predict success.\nExperience may bias people towards ideas that prevent them from operating from first principles.\nExperience may accelerate learning because of our human ability to pattern match.\nWere really looking for a mixture of qualities, with emphasis on hunger for growth, humility, and resourcefulness.\nReady to apply? Fill out this form to say hello: https://inv.tech/go \n\nBe sure to mention the words **LEG JOIN SLOGAN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to JavaScript, Amazon and Node jobs that are similar:\n\n $60,000 — $108,000/year\n


See more jobs at Invisible Technologies

Visit Invisible Technologies's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

komoot


verified closed 
$80k - $130k*

java

 

python

 

engineer

komoot

komoot

http://www.komoot.com

1,796 views

4 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And were good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous timesand we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nOne key driving factor to our growth has always been our understanding that a technological approach can provide an outdoor experience far beyond the possibilities of traditional services. On the one side, we collect, combine and process various open data sources (such as OSM and Wikipedia) and turn raw data into easily accessible information and understandable products, such as our easy-to-use outdoor route planner. On the other, we leverage the wisdom of our vast user base and use crowdsourced data for personalized, local outdoor recommendations. Now, with your strong analytical skills and your passion for building well-crafted and tested code, well leave traditional, standard solutions even further behindand well truly change the way people explore.\n\n**Your key responsibilities**\n\n- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.\n- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.\n- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.\n- Use the AWS ecosystem to build resilient and high-performing systems.\n\n**Why you will love it**\n\n- Youll work on a global product that inspires millions of users.\n- Youll get system access on your first day, as we know you are a smart and responsible engineer.\n- Youll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).\n- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.\n- We have a wide range of diverse challenges, in particular in the GIS domain.\n- We believe good ideas count more than hierarchies.\n- Youll work together with enthusiastic engineers, hikers and cyclists.\n- Youll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n- We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies between the time zones UTC-1 and UTC+3.\n\n**You will be successful in this position if you**\n\n- Are highly self-driven, responsible and keen to learn and improve.\n- Know your toolkit: git, ssh, bash, junit, jenkins and docker.\n- Have deep experience (4+ years) in developing software running under high load\n- Possess professional experience in Java and Python.\n- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.\n- Have strong analytical skills.\n- Love to tune, test, simulate and evaluate solutions to unusual problems.\n- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.\n\n**Sound like you?**\nThen send us the following:\n\n- Your CV.\n- A write-up explaining who you are and why you are interested in working at komoot.\n- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).\n- Something that shows us a little more about what youre interested in, be it your Twitter/Instagram account or your blog.\n- As we love people that go the extra mile, youll get bonus points for doing something creative with komoot. \n\nBe sure to mention the words **SCISSORS ETERNAL BACHELOR** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Java, Python and Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at komoot

Visit komoot's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Rainforest


closed 
$80k - $130k*

python

 

data science

Rainforest

Rainforest

www.rainforestqa.com/

3,093 views

0 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
We're looking for a Data Scientist/Machine Learning Engineer with a wide range of competencies. Rainforest is changing the way people do QA and data is at the heart of how we do that. From crowd management and fraud detection to data visualization and automation research, there are myriad opportunities to use your creativity and technical skills.\n\nWe are looking for someone who learns quickly and is a great communicator. Since we are a remote, distributed development team, decent writing skills and(over)communication is important to us. You can be based anywhere in the world (including San Francisco, where our HQ is located).\nWe regularly send our data scientists to conferences, both [to speak](https://www.youtube.com/watch?v=7_h8PElXio8) and just learn (e.g. last year we went to NIPS and KDD, this year to Europython and a couple of [PyDatas](https://www.youtube.com/watch?v=8kL71zk4KNk)). You can read about some of our work on [predicting test run durations](https://www.rainforestqa.com/blog/2017-11-07-how-to-predict-and-reduce-test-execution-time/) and how [Kaggle](https://www.rainforestqa.com/blog/2017-10-24-kaggle-perks-in-real-data-science-work/) can be useful in the real world. And hear some of our team members speak on the topic of Women, Company Culture, and Remote Teams [here](https://www.youtube.com/watch?v=BwKHfPgLcBY). \n\n \n\nBe sure to mention the words **LIMB VOCAL WASH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Machine Learning and Data Science jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Rainforest

Visit Rainforest's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Envision & Company Ltd.


closed 
$60k - $110k*

javascript

 

react

 

mobile

 
This job post is closed and the position is probably filled. Please do not apply.
About Envision\nEnvision is a FinTech start-up company based at level 39 Canary Wharf London, Europes largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the Londons fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.\n\nEnvision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.\n\nSpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.\n\nWe are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.\n\nWe are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.\n\nThe role\n\n 1 Data Scientist\n\nWe are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.\n3+ years experience in Artificial intelligence/ Machine learning is required.\n\nData Scientist Job Responsibility:\n\n Selecting features, building and optimising classifiers using machine learning based tools or processes within our company\n Data mining using state-of-the-art methods\n Ability to research, design and implement self-learning algorithms\n Ability to clearly communicate the designed algorithms, data flows and outcomes\n Develop models for fraud detection for various payment transactions and social media content\n Strong skills in statistics, machine learning and/or deep learning\n Demonstrated experience with development of high performance models used for real-time processing\n Comfortable working with developers with the willingness to both teach others and learn new techniques\n Processing, cleansing, and verifying the integrity of data used for analysis\n Creating automated anomaly detection systems with constant performance tracking\n\nDesirables\n Extensive experience with designing REST API\n Knowledge of Spark, Kafka\n Experience with Docker containers\n Familiar with Unix operating systems (Ubuntu)\n\nPersonal Skills\n Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.\n Success mindset.\n Proactive and creative self-starter.\n Problem solver with positive mental and learning attitude.\n Team player with strong interpersonal, communication skills.\n Can work in small team with a vision to grow.\n\nPlease check http://www.envisionworld.co for more information or contact us at [email protected]\n\nWe thank you in advance for your interest!\n\nThe Envision Team \n\nBe sure to mention the words **ALL TYPICAL FINISH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to JavaScript, React and Mobile jobs that are similar:\n\n $60,000 — $110,000/year\n


See more jobs at Envision & Company Ltd.

Visit Envision & Company Ltd.'s website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$80k - $130k*

python

 

data science

 

senior

This job post is closed and the position is probably filled. Please do not apply.
Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and were putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.\n##Skills & Requirements\n- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.\n- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n- Experience with recommendation algorithms and strong knowledge of machine learning concepts.\nSolid engineering skills to build scalable solutions and help automate data processing challenges.\n- Excellent problem-solving skills and ability to connect data science work to product impacts.\n- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.\n- Familiarity with AWS, Redshift.\n\n##What you can expect\n- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.\n- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.\n- Plan, engineer and measure outcomes of online experiments to help guide product development.\n- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.\n- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.\n\n##Technical Stack\n- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.\n- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.\n- Computational resources: EC2, Spark.\n- Workflow management: Airflow.\n\n##Fun facts about the Data Science team\n- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.\n- We build code that addresses user needs, solves business problems, and streamlines internal processes.\n- The members of our team bring a diverse set of technical and cultural backgrounds.\n- Business decisions at Doximity are driven by our data, analyses, and insights.\n- Hundreds of thousands of healthcare professionals will utilize the products you build.\n- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n- We like to have fun - company outings, team lunches, and happy hours! \n\nBe sure to mention the words **LIFE DISAGREE TREND** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Python, Machine Learning and Data Science jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


verified closed 
$80k - $130k*

git

 

python

 

data science

This job post is closed and the position is probably filled. Please do not apply.
Why work at Doximity?\n\nDoximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.\n\nSkills & Requirements\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nWhat you can expect\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximitys products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximitys data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nTechnical Stack\n\n-We historically favor Python and MySQL (SQLAlchemy), but leverage other tools when appropriate for the job at hand.\n-Machine learning (linear/logistic regression, ensemble models, boosted models, deep learning models, clustering, NLP, text categorization, user modeling, collaborative filtering, topic modeling, etc) via industry-standard packages (sklearn, Keras, NLTK, Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n-A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n-Storage solutions: Percona, Redshift, S3, HDFS, Hive, Neo4j, and Elasticsearch.\n-Computational resources: EC2, Spark.\n-Workflow management: Airflow.\n\nFun facts about the Data Science team\n\n-We have one of the richest healthcare datasets in the world.\n-We build code that addresses user needs, solves business problems, and streamlines internal processes.\n-The members of our team bring a diverse set of technical and cultural backgrounds.\n-Business decisions at Doximity are driven by our data, analyses, and insights.\n-Hundreds of thousands of healthcare professionals will utilize the products you build.\n-A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n-We like to have fun - company outings, team lunches, and happy hours! \n\nBe sure to mention the words **WAVE SPOT WORTH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Git, Python and Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Doximity

Visit Doximity's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

HigherEducation.com


closed 
$60k - $110k*

javascript

 

react

 

data science

This job post is closed and the position is probably filled. Please do not apply.
HigherEducation.com partners with many of the most recognizable names in the online education industry to help them build their programs and expand student bases with our 75M annual site visitors. We also love to use cutting edge technologies to make developer life enjoyable and more productive.\n\nWere looking for an experienced, hands-on hybrid role of JavaScript Engineer and data scientist to join a major initiative at a critical point in our companys growth. The ideal candidate (which means you, right?) will be responsible for debugging existing code bases and innovating new solutions through data science research. Other duties include enhancing & maintaining the core product, creating & maintaining the tests for various code repositories,\n\nThe position requires:\n- Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) or at least 5 years of development experience in a challenging, fast paced environment.\n- Demonstrated advanced proficiency in one or more of the following fields: Natural Language -\n Processing, Machine Learning, Deep Learning, Recommendation Systems.\n- Server-side JavaScript (e.g. Node.js - Express, Koa, Hapi).\n- Client-side JavaScript (e.g. React, MobX, Redux).\n- Build tools (e.g. Gulp, Grunt, Browserify, Webpack).\n- Exposure to AWS or other cloud platforms a plus.\n\n\nDesired qualifications include experience with:\n- Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.\n- Work effectively in agile teams; get stuff done with minimal guidance and zero BS, help others and know when to ask for help. Clearly communicate complex technical and product issues to non-technical team members, clients, etc.\n- Bonus points for experience implementing machine learning algos on GPU's or other hardware acceleration!\n\n\nWhat it's like \n\nLast year, we had a blast. We personally enjoy getting rid of legacy code & turning servers off in favor of clean, new, tested services.\n\nEach project is fairly small in scope with a large amount of flexibility and freedom to discuss & find the best architecture for the job and for the team. Usually, a single person heads up a project, collaborates with another for architecture & solutions, and eagerly looks forward to launching (rather than endlessly polishing).\n\n- Slack for conversations.\n- Asana for project tracking & deliverables.\n- Github for code collaboration.\n- DroneCI for CI & CD.\n\nBeing in a USA timezone is highly desirable.\n\n\nFor example...\n\nIn 2016 we...\n\n- Built and deployed a central platform for managing monetization across our portfolio.\n- Broke up an old monolith into smaller Docker services running on Rancher and got a solid, always-deploying CI/CD pipeline.\n- Established a lightweight Agile process to aid developer efficiency from initiative to initiative.\n- Worked with in house teams to conduct research in the frame of Recommendation Systems with a working prototype.\n\nIn 2017 we're...\n\n- Building applications to expand the business into areas of organic growth.\n- Refactoring and simplifying our micro-services ecosystem.\n- Doubling down in a robust product recommendation approach to better serve our users.\n\n\nHuman Environment\n\n- Centrally located in downtown Houston, free employee parking.\n- Coed work environment, casual dress code.\n- Cool office perks (e.g. sodas & coffee, happy hours, etc.).\n- Generous salary considerations & full benefits.\n- 6% 401k matching\n- 100% health / vision / dental for you & subsidies for the rest of your family\n- 15 vacation & sick days / yr.\n- Gym membership reimbursement up to $100/mo\n\n\nWhat We Value\n\nWe love to work as a team but office hours are flexible. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged.\n\nWe like to have a good time and minimize stress with good in-office coffee, ping pong, lounge/reading time and regular happy hours. We work hard and meet realistic deadlines. What good is delivering a poor product early?\n\nWe also understand that family is important, so time-shifting (and sometimes day-shifting) is necessary to deliver for both the team & your family.\n\n \n\nBe sure to mention the words **WEALTH STAIRS TOSS** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to JavaScript, React and Machine Learning jobs that are similar:\n\n $60,000 — $110,000/year\n


See more jobs at HigherEducation.com

Visit HigherEducation.com's website

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

BenchSci

 This job is getting a high amount of applications right now (109% of viewers clicked Apply)


Toronto, Ontario
 
$75k - $125k*

engineer

BenchSci is hiring a
Remote Machine Learning Engineer NLP

BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work簧, and top-ranked company on Glassdoor.\n\nWe are seeking a Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.\n\nReporting to the Engineering Manager, R&D, youll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.\n\n\n\n\nOur Culture:\nWe believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.\n\nDiversity, Equity and Inclusion:\nWe're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.\n\nAccessibility Accommodations:\nBenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nToronto, Ontario


See more jobs at BenchSci

Medely

 This job is getting a high amount of applications right now (122% of viewers clicked Apply)

 
$70k - $120k*

full stack

 

engineer

Medely is hiring a
Remote Compliance Support Associate

THE COMPANY\n\nMedely is the largest workforce management platform specializing in delivering healthcare professionals through an on demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high paying jobs with the freedom and flexibility to work when/where they want, while providing healthcare facilities access to the largest on-demand network of ready to work healthcare professionals.\n\nWe believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling todays toughest challenges in healthcare.\n\nHIGHLIGHTS\n\n- Founded in 2016 and having recently secured their Series B, Medely is facing explosive growth in a $3.65 trillion U.S. healthcare market ripe for tech disruption (Forbes, 2019).\n- Medelys staffing platform provides high quality, on-demand professionals to more than four thousand healthcare facilities in over 50 U.S. markets. Their network boasts over sixty thousand selectively vetted and credentialed healthcare professionals including nurses, medical assistants, technicians, and specialists. \n- Medely has consistently exceeded growth goals and is excited to continue the momentum in 2021!\n\nBe part of our growing company by joining the Medely Compliance Team!\n\nThe Compliance Support Associate will play a starring role in helping to reach Medelys goal of continually innovating, adapting to our rapid growth, and providing best-in-class service levels. As we are a growing startup, your voice matters when it comes to compliance best practices.\n\nWHY MEDELY:BENEFITS & PERKS\n\n- Competitive Compensation: Based on experience and performance\n- Long Term Incentives: 401k\n- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance\n- Flexibility: We believe that work/life balance is important, so we offer three weeks of vacation and ten paid holidays\n- Energetic team environment\n- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!\n- Ownership: Drive meaningful business impact on a team that youll help build and define!\n- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!\n\n\nWe're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.\n\nWork location is flexible if approved by Medely, except that position may not be performed remotely from the state of Colorado.\n\nMedely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of ownership of the candidate. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Full Stack, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nRemote


See more jobs at Medely

Hyperscience

 This job is getting a high amount of applications right now (117% of viewers clicked Apply)


New York City - NY, US Remote
 
$70k - $120k*

full stack

 

engineer

Hyperscience is hiring a
Remote Full Stack Engineer Machine Learning

Company Description\nHyperscience modernizes mission-critical processes and operations for the world's largest organizations and government agencies. Since 2014, Hypersciences automation technology has helped data-centric companies parse through vast amounts of unstructured inputs and raw information to get to swifter and smarter business outcomes. Through the Hyperscience Platform, enterprises are empowered to transform their operations, and drive operational efficiency as well as human productivity by fully unlocking the power of their data.\n\nRanked on the Inc. Fastest-Growing Company List, Hyperscience has raised $190M from investors including Tiger Global, BOND, Bessemer Venture Partners, Stripes, and FirstMark. The company has consistently been recognized as one of the best places to work with a collaborative and innovative culture and best-in-class benefits.\n\nThe company has a global footprint with offices in New York City, Sofia, Bulgaria, Toronto, Canada, and London, UK.\n\nJob Description\nWe are focused on building the worlds first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and were looking for amazing people to join us.\n\nMachine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.\n\nThis is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure th迮y are integrated in a reliable and scalable way to bring real value to customers.\n\n\n\n\nBenefits\n- Top notch healthcare for you and your family\n- 30 days of paid leave annually to help nurture work-life symbiosis\n- A 100% 401(k) match for up to 6% of your annual salary\n- Stock Options\n- Wellness stipend\n- Pre-tax transportation and commuter benefits\n- 6-month parental leave (or double salary to pay for your partner's unpaid leave)\n- Free travel for any person accompanying a breastfeeding mother and her baby on a business trip\n- A dependent care stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total\n- Daily catered lunch, snacks, and drinks\n- Budget to attend conferences, train, and further your education\n- $1,000 one-time-use WFH stipend and $75 monthly WFH stipend\n- Relocation assistance\n\nWe are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Full Stack, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nNew York City - NY, US Remote


See more jobs at Hyperscience

Curai

 This job is getting a high amount of applications right now (87% of viewers clicked Apply)


Bay Area, CA
 
$70k - $120k*

senior

 

engineer

Curai is hiring a
Remote Senior Machine Learning Engineer

Curai Health is on a mission toexpand healthcare access and deliver the best in class care to everyone. We run a virtual primary care clinic, and leverage AI and machine learning to help our doctors work more quickly and effectively with patients. At Curai Health we are building a diverse, world-class, multi-disciplinary team across engineering, AI research, product, design, operations, and medicine. Our Curaians come from a variety of backgrounds, are mission-oriented, embody our core values, and are passionate about making a difference in the lives of millions of people.\n\nAt Curai Health we have embraced remote-first and work with people from all over the country and world. Full-time team members receive benefits that include medical, dental, vision, 401(k) matching, a remote work stipend, parental leave, and more. We are well funded by top-tier Silicon Valley investors including Morningside, General Catalyst and Khosla Ventures.\n\nAI/ML researchers/engineers at Curai come from strong technical backgrounds, and share a passion to make a positive impact in the lives of millions of people. We have research partnerships with leading universities in the country, and access to medical data that facilitates research in this space. Check out some of our work on our blog.\n\nTo learn more about working in our ML team, please check out our employee spotlights here, and see our Key Values blog post here.\n\nOur company is remote-first and considering candidates across the United States.\n\nAt Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nBay Area, CA


See more jobs at Curai

Tala

 This job is getting a high amount of applications right now (125% of viewers clicked Apply)


Santa Monica, CA
 
$75k - $125k*

engineer

Tala is hiring a
Remote Machine Learning Engineer II

Tala was named one of the top 50 FinTech companies in the world. We are a financial technology company on a mission to make financial services simple, inclusive, and accessible for the doers and dreamers globally. We are building the digital bank for the next billion!\n\nSo far, more than 6 million people in emerging markets have borrowed through our Android app, which provides instant credit scoring, lending, education, and other personalized financial services. Headquartered in Santa Monica, we support the needs of our customers in Kenya, Mexico, Philippines, and India.\n\nThe Machine Learning Engineer II will contribute their expertise in both data science and software engineering to develop scalable, robust ML products. This IC role will deliver new products and improvements to our data science infrastructure from within Talas Data Platform team, participating in collaborative design discussions and delivering well-tested, performant solutions which meet the quality and design standards of the senior engineering staff. The Machine Learning Engineer II will proactively identify and overcome potential barriers to their projects success, requesting appropriate guidance and mentorship from senior staff.\n\nAbout Tala\n\nOur vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and were proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nSanta Monica, CA


See more jobs at Tala

Pachama



San Francisco, California
 
$70k - $130k*

data science

 

exec

 

Pachama is hiring a
Remote Product Manager GIS Machine Learning

Who we are\nPachama's mission is to restore nature to help address climate change. We bring the latest technology in remote sensing and AI to the world of forest carbon in order to enable forest conservation and restoration at scale. Our core technology harnesses satellite imaging with artificial intelligence to measure carbon captured in forests. Through the Pachama marketplace, companies and individuals can connect with carbon credits from projects that are protecting and restoring forests worldwide. We are backed by mission-aligned investors including Breakthrough Energy Ventures, Amazon Climate Fund, Chris Sacca, Saltwater Ventures, and Paul Graham.\n\nOur Values\nPurpose: We are a mission-focused company, working on the biggest problem of our generation\nIntegrity: Honesty, transparency, and commitment to the team\nExcellence: Everything you do should be delivered with precision and clarity\nTenacity: Stick with the mission, the company, and the team, through thick and thin\n\nWhat we're looking for\nWe're looking to bring on a product manager to work partner with our Verify team to develop and deliver on a product roadmap that aligns with Pachama's mission. You will work closely with the product and engineering teams, as well as with business and operations staff, designers, customers, and a range of other stakeholders, to deliver high-quality and scalable products. You'll be responsible for aggregating the requirements across this diverse group, developing a shared vision for the team, implementing a clear roadmap, and ultimately ensuring delivery against those goals.\n\nWhat Verify does\nThe primary job of Verify is to use satellite imagery, LIDAR, and other data sources to monitor the carbon sequestration of forests in an efficient, automated, and accurate way. Verify covers everything from data ingestion and graphics to model training and inference. Each is necessary to produce high-accuracy project evaluations and ongoing monitoring insights. The team is comprised of sustainability experts, forest scientists, machine learning experts, data engineers, and software engineers. The systems built by the Verify team underpin the core technology of the company, creating the heartbeat by which our business operates. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Executive and Machine Learning jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nSan Francisco, California


See more jobs at Pachama

BrightHire


 
$70k - $120k*

senior

 

engineer

BrightHire is hiring a
Remote Senior Machine Learning Engineer

Our mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human. Were doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. Our innovative approach has been covered in Inc. Magazine and Quartz, were backed by the investors behind Figma, Dropbox and Slack, and advised by thought-leaders including renowned organizational psychologist and NYT bestselling author Adam Grant.\n\nWhat will you do?\n As the founding member of the data science team, reporting to the Head of Engineering, you will:\n Take full ownership in defining and developing high quality ML features as well as supporting infrastructure and services that enable our customers to extract more insights and value out of their interviews.\n Work directly with the customers and the rest of the team to understand and identify the problems that they face and the solutions we want to deliver.\n Collaborate with the rest of the team on enabling data-driven and ML solutions inside the organization and in the application.\n\nWho are you?\n You have delivered user-facing ML features to production with the full ML development lifecycle.\n Experience with developing NLP features is a plus.\n Experience with Data Analytics work is a plus.\n Experience with Full Stack Engineering is a plus.\n You are resourceful and are happy wearing many hats.\n You have worked in a startup-like environment with limited resources and processes.\n You empathize with the customer.\n You have a strong opinion on what should be built and how it solves the customers problem.\n You can communicate complex engineering ideas to a non-technical audience.\n You value collaboration and gathering feedback from team members across the organization comes naturally to you.\n\nMore about us:\n Were very collaborative, were always brainstorming ideas about product, strategy, etc.\n We use our product daily in our own hiring, which is rewarding and gives us product empathy!\n We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.\n Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a company\n Were generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travel...\n\nBenefits:\n Meaningful equity\n Fully paid health, dental and vision coverage\n Generous budget for your ideal work environment\n Unlimited PTO, with a minimum # of days everyone must take :)\n Annual learning stipend for courses, conferences, etc.\n Monthly snack pantry delivered to your door\n\nOur goal is to ensure that BrightHire upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status, and we'd love to learn about what you can add to our team.\n\n*Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website. We will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered our property. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nRemote


See more jobs at BrightHire

Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Frontend Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to develop our platform and architecture. We like to solve complex problems with elegant and robust solutions. If you are excited about building highly scalable solutions built on a modern stack using best practices, then this role is perfect for you.\n\nThis position is based in our growing HQ office in Berlin.\n\nMeet your future team: http://bit.ly/working-at-Back\n\nHow to apply?\nApply for this job by adding your Github, LinkedIn profiles, some screenshots and/or video of an application you built or your portfolio link to and/or zip file of some code you wrote and which you enjoyed to build.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


See more jobs at Back

Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Backend Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to develop our platform and architecture. We like to solve complex problems with elegant and robust solutions. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.\n\nThis position is based in our growing HQ office in Berlin.\n\nLearn more about our engineering culture, our values for hiring, and how we work: http://bit.ly/working-at-Back\n\nHow to apply?\nApply for this job by adding your Github, LinkedIn profiles, some screenshots and/or video of an application you built or your portfolio link to and/or zip file of some code you wrote and which you enjoyed to build. \n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


See more jobs at Back

Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Machine Learning Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.\n\nThis position is based in our growing HQ in Berlin.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


See more jobs at Back

Paperspace


closed
New York City
 
$70k - $120k*

dev

 

cloud

 

engineer

 

front end

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease - from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team\n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment.We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\n Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\n Effectively articulate best practices for instrumenting machine learning pipelines to our customers \n Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\n Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \n Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\nⅩDevelop and refine product documentation\n Develop sample projects that can run seamlessly on the platform\n Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\n Actively use Gradient features in a variety of scenarios to provide internal product guidance\n Contribute ideas and feedback and help prioritize feature requests and bug fixes\n Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\n Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\n Keep the organization apprised of new developments in applied & theoretical ML\n Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\n 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\n Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\n Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\n Excellent communication and presentation skills, both written and verbal\n Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\n Ability to break down complex problems and resolve them through customer consultation and execution.\n Experience with cloud platforms (AWS, GCP, Azure)\n Experience with Linux/Unix\n Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\n Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\n Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\n Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\n Writing easy-to-follow code and effective documentation for your projects\n Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\n Strong writing and data visualization skills\n\nStrong Plus\n\n Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \n Experience with hyperparameter optimization solutions\n Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\n Experience with data pipeline tools\n Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\n You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine learning more accessible, transparent, and collaborative\n Experience contributing to architecture and systems design\n Teaching experience\n\nWhy join us? \n\n Top-tier machine learning teams rely on our tools for their daily work\n This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\n Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\n A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\n Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n 401(k) Plan with employer matching\n Commuter benefits with a contribution from the company \n Responsible Time Off Policy \n Generous and flexible parental leave\n Fitness & wellness benefit\n Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Cloud and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nNew York City


See more jobs at Paperspace

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Scribd


closed
San Francisco OR Us/canada
 
$70k - $120k*

senior

 

engineer

 

backend

 
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
At Scribd (pronounced scribbed), we believe reading is more important than ever. Join our cast of characters as we build the worlds largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.\n\nAbout the team\nApplied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We work on Scribds unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, and podcasts. Were seeking a skilled Senior ML Engineer that specializes in MLOps to help us productionize our wide variety of real time & batch processing models. Our team of 5 data scientists are excited to learn from you about how to efficiently build scalable production systems and to share their knowledge of building high performance machine learning models.\n\nAbout You\nYou enjoy teaching the skills youve acquired. As a senior ML engineer youve developed the ability to deeply understand the larger data ecosystem system from model requirements to business needs. You focus on designing tools and capabilities that help the team deploy more models to production. Youre able to connect what youre building to the downstream impact of how it will improve the product.\n\nYou will:\nDesign and implement ML systems that scale to reach millions of people.\nPackage tests, build containers, and deploy artifacts in CI/CD pipelines.\nWork with our AWS tech stack leveraging S3, ECR, CodeBuild, AWS Lambda, Sagemaker, & Databricks.\nCreate the interfaces, infrastructure, and clusters to process data efficiently.\nWork with other teams improve Scribds ML platform: logging, monitoring, scalability, model retraining, automated testing, environment isolation, and model health monitoring.\nBuild pipelines that process terabytes of data.\nCollaborate across teams to determine the highest-impact opportunities.\n\nYou Have:\n4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments.\nAdvanced Spark or Pyspark skills.\nIntermediate Python and SQL skills.\nExperience optimizing infrastructure usage for performance, reliability, and cost.\nAn understanding of fundamental ML concepts and exposure to ML libraries like TensorFlow, Pytorch, and Scikit-learn.\nKnowledge of relevant software design patterns and system architecture.\nExperience working with the AWS technology stack and frameworks and environments such as Airflow and Docker.\n\nBenefits, Perks and Wellbeing at Scribd\n\nⅩHealthcare Benefits: Scribd pays 100% of employees Medical, Vision, and Dental premiums and 70% of dependents\nⅩLeaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals\nⅩ401k plan through Fidelity, plus company matching with no vesting period\nⅩDiversity, Equity, & Inclusion hiring best practices\nⅩStock Options - every employee is an owner in Scribd!\nⅩGenerous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day\nⅩReferral bonuses\n Professional development: generous annual budget for our employees to attend conferences, classes, and other events\nⅩCompany-wide Diversity, Equity & Inclusion training\nⅩLearning & Development and Coaching programs\nⅩMonthly Wellness, Connectivity & Comfort Benefit\nⅩConcern mental health digital platform\nⅩWork-life balance flexibility\nⅩEmployee Resource Groups that build community and support among employees\nⅩCompany events + Scribdchats\nⅩFree subscription to Scribd + gift memberships for friends & family\nⅩMonthly inclusive multi-cultural celebrations & learning opportunities\n\nWant to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life\n\nScribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.\n\nWe encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Senior, Engineer and Backend jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nSan Francisco OR Us/canada


See more jobs at Scribd

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Vetspire


closed
Austin, TX
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
About Vetspire\n\nVetspire is an Artificial Intelligence driven veterinary medical records and practice management platform. Were a startup reimagining the way that veterinarians use technology, impacting every aspect of patient care from AI assistance in the exam room to managing client communications and clinical analytics. As part of our team, youll be designing the future of what veterinary technology should and can be, and youll be joining a founding team out of the Stanford Artificial Intelligence Laboratory building a research platform for evidence-based veterinary medicine.\n\nThe Role\n\nWere growing quickly and looking for a senior full stack software engineer to join the team to help bring veterinarians dreams into fruition. Your day to day work will consist of learning and understanding veterinarians' and veterinary staff needs and bringing them into reality from the front-end to the backend. To do this, youll be working at every stage of patient care from the exam room to back-end analytics.\n\nSome examples of what your work may look like:\n* Creating an emergency room clinical census to monitor patients and alert staff in real-time.\n* Designing the interface and algorithms for intelligent immunization reminders.\n* Building a secure messaging platform for client and doctor communications.\n\nWe're looking for someone who will take ownership over the full pipeline of their work in a team-centered atmosphere that will work and talk directly with the users every day. You'll want to take pride in talking with clients to understand their needs, brainstorm with the clients to find the ideal solution, implement the back-end architecture at scale, design beautiful and intuitive interfaces on the front-end, and continually iterate based on client feedback.\n\nThis specific role will be very hands-on: you'll work closely with our veterinary users to understand their unique needs and build solutions for them to solve real problems in the field. It's half-part engineering, half-part problem solving.\n\nVetspire is a remote, distributed team, so this will be a remote role. Occasional travel to Austin, TX will be required for in-person meetings.\n\nTechnologies\n\nOur backend is a GraphQL Phoenix/Absinthe application written in Elixir, our front end is a React SPA using the Apollo GraphQL framework, our primary database is PostgreSQL, and it all runs on Google Cloud via Kubernetes.\n\nExperience with these technologies will be a great bonus (especially Elixir, React, and GraphQL), but the most important experience is in understanding users problems and putting together end-to-end solutions. Experience in healthcare technology is also a boon, but not at all required. Keen attention to detail and design is a must.\n\nInterview Process\n\nIf you're a good fit, we'll reach out to set up a phone call to tell you more about Vetspire. If you're interested, we'll work quickly to identify if this will be the best role for you:\n\n~30 minute screen, where we'll just ask some basic questions to understand your experience and skill level.\n~Short 2-hour max Take-Home Coding Assignment\n~1-hour technical interview to review the coding assignment\n~1-hour interview with our CEO.\n\nAfterwards, we'll hope to make you an offer and have you join our team!\n\nSalary range: $120,000-$150,000 USD\n\nContact\n\nIf you have any questions before applying, please feel free to reach out to [email protected] with any questions.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nAustin, TX


See more jobs at Vetspire

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Nylas



Toronto, ON
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

Nylas is hiring a
Remote Software Developer Test

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.\n\nWho We Are\nNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors includingPatrick Collison, Co-Founder and CEO of Stripe,John Collison, President and Co-Founder of Stripe,Sebastian Siemiatkowski, CEO of Klarna, andTony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, andMove.com.\n\nOur Work Philosophy\nNylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.\n\nAND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. They can go anywhere as long as they respect the working hours (time zones) of their team. Wherever motivates them; inspires them to be better versions of themselves. This means Nylanauts can work from the slopes of Missoula before traveling to the beaches of San Diego. Wonderful!\n\nAnd if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can. Go ahead! The workspace is there to be utilized.\n\nWhy Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.\n\nSo, if youre looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!\n\nRecent Awards:\nFastest Growing Companies (Inc 500)\n2020 Great Place to Work (Great Place to Work)\n2020 Best Places for Professional Development (Comparably)\n2019 Best Leadership Team (Comparably)\n2020 Happiest Employees (Comparably)\n2020 Best Companies for Compensation (Comparably)\n2020 Best Companies for Perks & Benefits (Comparably)\n2020 Best Companies for Work-Life Balance (Comparably)\n\nAbout the role\nWere looking for an individual to grow with us, introduce us to new ideas, and help us scale our products with quality to our users. You will work cross-functionally with engineers, product managers, our support team, and our developer advocate in a fast-paced and collaborative environment. You are specialized in full stack QA (front end, web service, & non-functional infrastructure testing) and will design, build, and adapt testing infrastructure from scratch so that we have effective pre and post production tests. Additionally, you have hands-on experience with Docker and Kubernetes in any of the cloud platforms. You should be comfortable following code from development through production and bring your expertise to help turn incidents into test cases.\n\nNylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.\n\nNylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON


See more jobs at Nylas

Nylas


closed
Toronto, ON
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 12 days ago
Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. Over 40,000 developers around the globe use the Nylas communications platform to process over 1.2 billion API requests and 20TB of data per day from providers such as Gmail, Microsoft Exchange, Outlook, Yahoo! and more.\n\nWho We Are\nNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors includingPatrick Collison, Co-Founder and CEO of Stripe,John Collison, President and Co-Founder of Stripe,Sebastian Siemiatkowski, CEO of Klarna, andTony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, andMove.com.\n\nOur Work Philosophy\nNylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.\n\nAND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. Nylanauts can work from the slopes of Missoula or beaches of San Diego. Wherever motivates them; inspires them to be better versions of themselves. And if Nylanauts wish to work from an office in one of our hubs(San Francisco, Denver, New York City, Toronto, and London), they can! The workspace is there to be utilize.\n\nWhy Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.\n\nSo, if youre looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!\n\nRecent Awards:\nFastest Growing Companies (Inc 500)\n2020 Great Place to Work (Great Place to Work)\n2020 Best Places for Professional Development (Comparably)\n2019 Best Leadership Team (Comparably)\n2020 Happiest Employees (Comparably)\n2020 Best Companies for Compensation (Comparably)\n2020 Best Companies for Perks & Benefits (Comparably)\n2020 Best Companies for Work-Life Balance (Comparably)\n\nAbout the team\nThe Nylas Connectivity team is the lifeblood of our business and is responsible for an array of communication APIs including email, calendar, and contacts. Were hiring experienced engineers to help us scale and build new products on top of our APIs. Right now, our open-source Python sync engine regularly archives terabytes of data across a massive SQL cluster, and our Flask APIs handle tens of millions of requests a day. We aim to scale that several times over in the next year.\n\nAbout the role\nOur engineers end-to-end own and ship new features, like offering Contact sync, while providing mentorship through pairing. They share our webhook systems, then re-architect in SQS as we scale. They solve tricky customer issues, debug slow MySQL queries, and sometimes get into the depths of MIME and other email protocols.\n\nYou should have a growth mindset, enough engineering experience to architect complex systems, a track record of managing your own projects, and a strong sense of practical shippability over-engineering purity. You should also tend toward humbleness in your abilities and have an innate desire to pass knowledge onto others.\n\nNylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.\n\nNylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON


See more jobs at Nylas

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Nylas



Toronto, ON
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

Nylas is hiring a
Remote Senior Machine Learning Engineer NLP

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.\n\nWho We Are\nNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors includingPatrick Collison, Co-Founder and CEO of Stripe,John Collison, President and Co-Founder of Stripe,Sebastian Siemiatkowski, CEO of Klarna, andTony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, andMove.com.\n\nOur Work Philosophy\nNylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.\n\nAND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. They can go anywhere as long as they respect the working hours (time zones) of their team. Wherever motivates them; inspires them to be better versions of themselves. This means Nylanauts can work from the slopes of Missoula before traveling to the beaches of San Diego. Wonderful!\n\nAnd if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can. Go ahead! The workspace is there to be utilized.\n\nWhy Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.\n\nSo, if youre looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!\n\nRecent Awards:\nFastest Growing Companies (Inc 500)\n2020 Great Place to Work (Great Place to Work)\n2020 Best Places for Professional Development (Comparably)\n2019 Best Leadership Team (Comparably)\n2020 Happiest Employees (Comparably)\n2020 Best Companies for Compensation (Comparably)\n2020 Best Companies for Perks & Benefits (Comparably)\n2020 Best Companies for Work-Life Balance (Comparably)\n\nAbout the team\nThe Intelligence team at Nylas is responsible for the forward development of various services that build on top of emails, calendars, and contacts. We utilize natural language processing, machine learning, and integrations with external APIs to categorize and contextualize information for developers to build an intelligence layer on top of Nylas world-class communications layer.\n\nAbout the role\nThis role will be responsible for designing, developing, and deploying various solutions from rule-based to deep learning models leveraging on Natural Language Processing to extract information and gain insight into emails, calendars, and contacts. In this role, 70% of your time will be dedicated to performing SWE and MLOps tasks, and 30% to developing new models. Reporting to the Director, Software Engineering, you will join a robust and growing team that is geographically distributed and extremely collaborative. \n\nNylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.\n\nNylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON


See more jobs at Nylas

Pex


closed 
$70k - $120k*

senior

 

engineer

 

devops

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Here at Pex, we have built the largest audio-visual search engine in the world allowing creators, musicians and rightsholders to understand the usage of their content and help them to earn more while exposing their content to wider audiences.\n\nWe are building on this legacy of digital content identification and management to develop a market-making product we call the Attribution Engine. The Attribution Engine is a three-sided marketplace bringing rightsholders, platforms, and creators together to simplify the existing licensing process by making ownership information more transparent and readily available; bringing scale and consistency to the licensing process; and ensuring that copyright disputes are resolved quickly and cost-effectively. We believe that the successful launch of this product will position Pex to become the Visa of Digital Rights.\n\nThe Team:\n\nOur Engineering team is a fully remote, cross-functional, and autonomous team made up of talented engineers from various backgrounds and skill levels. We operate according to the Servant Leadership philosophy and believe our managers should enable their teams to fulfill their potential by actively promoting an intention-based work environment over a permission-based one. We value transparency, clear communication, and the discussion of facts and opinions, and we strive to create an environment where all team members feel empowered to take initiative, experiment, learn from mistakes, and share opinions freely.\n\nPex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Pex

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Pex


closed 
$70k - $120k*

senior

 

engineer

 

devops

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Here at Pex, we're on a mission to democratize digital rights for everyone. \n\nWe are the team behind the Attribution Engine, a licensing infrastructure for the Internet enabling fair compensation and increased access to content. With its advanced identification technology, Attribution Engine ensures compliance and safety for platforms, gives rightsholders total control of their content, increases access and confidence for creators, helps law enforcement prevent toxic content, and provides brand safety for advertisers. \n\nBuilding the first solution capable of identifying, attributing, and licensing content in real-time, even before its published, is no small feat, so were looking for a new Senior Java Developer to join us on our quest to bring freedom, fairness, and transparencyto the Internet.\n\nThe Team:\n\nOur Engineering team is a fully remote, cross-functional, and autonomous team made up of talented engineers from various backgrounds and skill levels. At Pex, we value transparency and clear communication, and we strive to create an environment where all team members feel safe and supported to take initiative, experiment, learn from mistakes, and share opinions freely.\n\nThe Role:\n\nYou will be responsible for learning and understanding Pexs data acquisition architecture, working on the data acquisition component thats responsible for incoming file processing, and contributing to our general data pipeline and content ingestion workflows.\n\nAbout You:\n\nMany of our team members at Pex did not follow the traditional career path. Rather than focusing on schools attended, degrees completed, and companies worked at, we value people who are curious and collaborative and bring their unique perspectives to work each day. While were excited to learn what you can bring to the team, there are a few key things youll need that are essential to success in this role:\n\nTExperience and fluency in Java and/or Kotlin\nTAbility to communicate and work effectively in a distributed team\nTExperience with Go, Spring Framework, and/or Uber Cadence is a plus\n\nOur Stack:\n\nTJava, Kotlin, Go, C/C++\nTPostgreSQL\nTFoundationDB\nTCI/CD pipeline backed by Jenkins\nTDocker, Kubernetes\nTAzure\n\nPerks and Benefits:\n\nTSalary: $140,000 - $180,000/year\nTEquity, with perks like a 10-year exercise window\nTCompetitive health insurance (99% employee and 70% dependent premium coverage for US-based employees)\nTGenerous paid parental leave\nTDay off on your birthday\nT30 days of paid time off + 9 paid holidays\nTA fully remote working environment\nTA supportive culture that cares about both excellent work and work-life balance\n\nPex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Pex

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Pex


closed 
$70k - $120k*

senior

 

engineer

 

devops

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Here at Pex, we have built the largest audio-visual search engine in the world allowing creators, musicians and rightsholders to understand the usage of their content and help them to earn more while exposing their content to wider audiences.\n\nWe are building on this legacy of digital content identification and management to develop a market-making product we call the Attribution Engine. The Attribution Engine is a three-sided marketplace bringing rightsholders, platforms, and creators together to simplify the existing licensing process by making ownership information more transparent and readily available; bringing scale and consistency to the licensing process; and ensuring that copyright disputes are resolved quickly and cost-effectively. We believe that the successful launch of this product will position Pex to become the Visa of Digital Rights.\n\nDo you like board games or other games of strategy? Do you work well under pressure? Do you like solving problems of massive scale? Do you like thinking about ways to use tools in unconventional ways? Do you like thinking long-term? Do you want to have the ability to have a direct impact on the success of a company and create something entirely new in the marketplace? If you found yourself nodding to a few of these questions, let's chat!\n\n\nThe Team:\n\nOur Infrastructure team spans the globe and is fully remote while maintaining a strong identity and bond. We come from various backgrounds and origins but we all have a few things in common: we love - challenging and dynamic problems, automating everything, observability, reliability, accountability and spreading the DevOps way. We strive to work ourselves out of the job, knowing that it is never really an attainable goal. We share and avoid hoarding information. We strive to create an environment where all team members are empowered to take ownership, experiment and learn from their mistakes.\n\nPex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Pex

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Pex


closed 
$70k - $120k*

senior

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Here at Pex, we've built the largest audio-visual search engine in the world allowing creators, musicians, and rightsholders to understand the usage of their content, and help them to earn more while exposing their content to wider audiences.\n\nWe are building on this legacy of digital content identification and management to develop a market-making product we call the Attribution Engine. The Attribution Engine is a three-sided marketplace that brings together rightsholders, platforms and creators to simplify the existing licensing process. By making ownership information more transparent and readily available, bringing scale and consistency to the licensing process, and ensuring that copyright disputes are resolved quickly and cost-effectively, we believe that the successful launch of this product will position Pex to become the Visa of Digital Rights.\n\nThe Team:\n\nThe Machine Learning (ML) team at Pex is a fully remote team made up of Data Scientists and Infrastructure Engineers that are working on some challenging technical problems, at scale. This team is responsible for the full R&D life cycle - from collaborating on new research initiatives to working with our backend team to deploy machine learning systems.\n\n\nThe Role:\n\nAs a dedicated Data Engineer within our ML team, you will provide technical support for the team by creating and maintaining datasets and architecting efficient storage and streaming of data working specifically on data pipelines, deployments, data exploration, and visualizations. \n\n\nYou:\n\nWe have a lot of people who did not follow the traditional career path. We value people who are curious and collaborative and bring their unique perspectives to work each day. While were excited to learn what you can bring to the team, there are a few key things youll need that are essential to success in this role: \n\nT Solid understanding of data structures \nT Interest in building efficient pipelines for machine learning applications \nT Ability to write strong, maintainable code (preferably Python and/or C++)\n\n\nOur Stack:\n\nT Go, Java, C/C++, Python\nT PostgreSQL\nT FoundationDB\nT CI/CD pipeline backed by Jenkins\nT Docker, Kubernetes\n\n\nPerks and Benefits:\n\nT Salary: $140,000 - $165,000/year\nT Equity, with perks like a 10-year exercise window\nT Competitive health insurance (99% employee and 70% dependent premium coverage for US-based employees)\nT Generous paid parental leave\nT The day off on your birthday\nT 30 days of paid time off + 9 paid holidays\nT A fully remote and flexible work environment\nT A supportive culture that cares about both excellent work and work-life balance\n\nPex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Pex

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Loadsmart


 
$70k - $120k*

senior

 

engineer

Loadsmart is hiring a
Remote Senior Machine Learning Engineer

Who we are:\nWe are industry veterans and data-scientists using innovative technology to fearlessly reinvent the future of freight. As the nerds of logistics, we seek intelligence in data to solve deep rooted inefficiencies in the industry. We give shippers, brokers and carriers access to our data connections that link supply and demand and a suite of award-winning solutions to strike the perfect balance of cost and service. Were creating a more efficient and environmentally responsible way to move more with less.\n\nWho you are:\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry. You know how to take ideas, optimize them, and push it into production code using Python. You have experience putting your machine learning models in production, and know your way around databases and ETLs. You like working in a hands-on environment and enjoy teamwork.\n\nWhere we are:\nLoadsmart was founded in New York and is currently headquartered in Chicago, IL. Our teams operate remotely from different parts of the United States as well as in several locations across Latin America.\n\nThe role:\nWe are looking for a Sr. Machine Learning Engineer to work remotely from Lat-Am. You'll join us in obsessing about transformational technology as part of one of our Data Science teams. You should have experience and proven ability to analyze data, create machine learning models, implement APIs to serve these models, and write ETLs and data pipelines to push these models to production. Our technology stack on the backend is primarily on top of Docker, Kubernetes and Python.\n\n\nBecause we are an international company, we only accept resumes in English.\n\nAt Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.\n\n#LI-Remote\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Loadsmart

LangAware


closed 
$70k - $120k*

senior

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
\nOur job is to help with a preliminary diagnosis of Dementia, with emphasis on Alzheimers Disease. We focus on helping healthcare experts, pharmaceutical companies and policymakers making informed decisions regarding patients and their cognitive status. We are a tech-based startup that focuses on data science, machine learning, and B2B solutions.\n\n\nRole\nAs a Machine Learning Software Engineer, you help design, develop and deploy multiple features for the services offered. Leveraging your expertise to help implement a complex product while ensuring high-quality solutions and performance.\n\n\nResponsibilities\n * Design product solutions according to the needs of the customer (e.g. clinicians, pharma industries, policymakers, etc.)\n * Design and implement Machine Learning models for text and audio classification.\n * Experiment with new features and representations that will enhance the performance of the deployed solutions\n * Automate the experimentation and model deployment processes\n * Predict the future, like modeling whether a patient is likely to exhibit cognitive decline.\n * Deploy the models and services offered while ensuring the scalability and robustness of the solutions\n * Be proficient with MLOps best practices\n * Personalize the end users experience\n * Design and create insightful dashboards and reports for the end-users.\n * Develop business-relevant conclusions from data\n * Work with various stakeholders with different backgrounds (researchers, UX professionals, designers, etc)\n \n\n\nBenefits\n\n * Bucketfuls of challenging problems to solve, so hopefully that's your thing!\n * One of the best learning experiences of your life. You'll get to work with extremely smart and capable people, with interdisciplinary background\n * Very competitive salary\n * Choosing your own working conditions is one of our strongest beliefs\n \n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at LangAware

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

AI FinTech


 
$80k - $130k*

AI FinTech is hiring a
Remote Machine Learning Data Scientistitemize

\nABOUT THE ROLE\n\nThe Machine Learning Data Scientist will join a team of engineers innovating new techniques for applying Artificial Intelligence, Machine Learning, and data analytics techniques to transform unstructured images and files into financial data sets.\n\nThe Machine Learning Data Scientist’s responsibilities will include:\n\n\n* Develop machine-learning models, services, and modules for document classification and information extraction\n\n* Build pipelines and processes for model development, experimentation and scaled production scoring\n\n* Identify and develop new modeling techniques and/or technologies to complement existing ML processes and improve extraction rates and confidence\n\n* Measure, improve, and validate confidence scores through rigorous and continuous testing\n\n* Improve verification and validation functionality\n\n* Apply machine learning and data science techniques and design distributed systems\n\n\n\n\nSKILLS AND EXPERIENCE\n\n\n* Bachelor’s Degree in Computer Science or Engineering\n\n* 3+ years software development experience in a professional work environment\n\n* Strong software engineering background with emphasis in data science and machine learning\n\n* Experience in some of the following ML frameworks: Tensorflow, pandas, pytorch, xgboost, numpy, keras, scikit-learn, dask, spark\n\n* Demonstrable knowledge and understanding of Statistics and Deep Learning concepts\n\n* Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability\n\n* Understanding of how components and processes work together and communicate with each other using library calls, RESTful APIs queueing/messaging systems and database queries\n\n* Familiar with SQL, and able to create/perform basic queries\n\n* Fluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)\n\n* Familiarity with AWS cloud services\n\n* Strong interpersonal communications skills (verbal, presentation, and written)\n\n\n\n\nWHAT WE OFFER\n\n\n* High energy atmosphere of an AI-driven FinTech scaleup that has great traction towards global success and already serves clients across four continents, including Fortune 500 companies. And we are just getting started!\n\n* We value education and professional development and offer opportunities for our employees to grow and learn in their roles and within the industry\n\n* Enjoyable working environment: A diverse international team of techies, dog lovers, globetrotters, and musicians. We offer flexible PTO and a generous benefits package, and highly value independence. Our team enjoys spending time together with fun virtual activities and we look forward to re-establishing face to face events soon!\n\n\n\n\n\nItemize is an Equal Opportunity Employer. Itemize does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by applicable law. All employment is decided on the basis of qualifications, merit, and business need. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at AI FinTech

ThoughtExchange


closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Thoughtexchange empowers organizations to lead group discussions about things that matter. Leaders from all over North America inform critical decisions with powerful, patent pending analytics and visualizations supported by our software and world class customer success team.  Millions of thoughts have been shared and rated on the Thoughtexchange platform and with a fresh round of financing Thoughtexchange is ready to scale.\n\nWe are looking for a creative and passionate Machine Learning Engineer wanting to work on a product that makes a difference. You will join a highly motivated and talented research engineering team who work with tools on the cutting edge of technology.  Our team keenly observes technology trends but strives to balance practical business concerns with technical requirements. We are an inclusive team where everyone treats each other with extraordinary respect.\n\n\n\n\nResponsibilities:\n\n\n\n\n* Create proof of concept of machine learning products and services using open source tools, libraries and frameworks\n\n* Detect patterns associated with our massive text and raw data to generate models enabling our customers with recommended actions and predicted results\n\n* Work closely with R&D team. Train and develop machine learning models with a focus on NLP and recommender systems based on business requirements\n\n* Be able (and willing) to multi-task and learn new technologies quickly\n\n\n\n\n\n\n\n\n\n\nQualifications:\n\n\n\n\n* Masters in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent\n\n* 3+ years experience in the industry\n\n* Experience in training, deploying, testing and shipping ML models in a production environment\n\n* Solid understanding and applying object-oriented design, data structures, algorithm design, and complexity analysis\n\n* Deep understanding on machine learning, deep learning and natural language processing\n\n* Experience in deep learning frameworks, e.g. Tensorflow, Pytorch, Keras, Scikit Learn\n\n* Experience in transformer language models such as BERT, BART and GPT for various downstream tasks\n\n* Passionate about keeping up with the state of the art and constantly learning as the field evolves\n\n* Familiar with recommender systems\n\n* Solid Python programming skills\n\n* Excellent oral and written communication and presentation skills\n\n* Self starter, quick learner and creative mind\n\n\n\n\n\n\n\n\n\n\nNice to have:\n\n\n\n\n* Candidates with a PhD\n\n* Familiarity with Big Data tools such as Hadoop and Spark\n\n* Proven track record of publishing in top tier ML conferences such as NeurIPS, ICML, etc\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at ThoughtExchange

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Studitemps


closed 
$70k - $120k*

dev

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nMission\n\n\n* \n\nAls Teil unseres Machine Learning Teams hilfst du uns dabei, unsere Daten nutzbar zu machen und Studierende und Unternehmen mithilfe intelligenter Systeme noch besser zueinander zu bringen. \n\n\n* \n\nDu konzeptionierst und implementierst gemeinsam mit deinem Scrum-Team Machine-Learning-Systeme und -Prozesse und bindest sie in unsere Softwareprodukte ein. Dabei arbeitet ihr eng mit unseren weiteren Teams zusammen.\n\n\n* \n\nDu baust Machine-Learning-Technologien auf – unter anderem im Bereich Automated Planning, Recommender Systems und intelligente Suchen.\n\n\n\n\n\nProfil\n\n\n* \n\nDu hast bereits mehrere Jahre Erfahrungen als Software-Entwickler, aber auch im Bereich Machine Learning gesammelt.\n\n\n* \n\nAkronyme wie PCA und SVM erzeugen keine Fragezeichen in deinem Kopf sondern eröffnen neue Lösungsräume.\n\n\n* \n\nDu verfügst über Wissen im Bereich Machine-Learning-Infrastruktur, zum Beispiel bei automatisierten Deployments oder dem Aufbau von reproduzierbaren (Test-)Pipelines.\n\n\n* \n\nDeine mathematischen Kenntnisse sind auch mehr als die Summe der Grundrechenarten.\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Studitemps

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

The Meet Group


closed 
$70k - $120k*

senior

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
By leveraging cutting-edge technologies, innovative product design, and advancements in machine learning and artificial intelligence capabilities, The Meet Group strives to maintain its position as a personal connection leader. Our team's goal is to create a truly personalized user experience while fostering additional business opportunities and operational efficiencies.\n\nAs a talented senior-level Machine Learning Engineer, you love the challenge of solving real-world problems using the latest techniques and tools that bring your models to life. You have experience and are fulfilled by teaching and guiding others. You learn and adapt quickly and can use every tool at your disposal--software, algorithms, statistical models, and beyond--to thoroughly understand and solve challenging problems. You think about modeling considerations in the context of not only implementation but, more importantly, runtime. You appreciate the difference between explaining and fitting statistical models, the importance of useful metrics, and the tradeoff between exploration and exploitation.\n\n\n\n\nAs a Senior Machine Learning Engineer on our Machine Learning team, you will be:\n\n\n\n\n* Developing, testing, and deploying machine learning algorithms to support and improve business processes.\n\n* Creating and maintaining a framework for deploying machine learning algorithms.\n\n* Building applications to implement, track, and monitor models, ensuring the accuracy of deployed algorithms on an ongoing basis.\n\n* Engineering ML-based solutions and algorithms to meet the needs of various TMG business units.\n\n* Conducting end-to-end analysis, including data gathering from internal and external sources; specifying requirements; processing, compiling, and validating data; and ensuring deliverables are met.\n\n* Collaborating with other technology and business teams to build creative and viable solutions.\n\n* Working hand-in-hand with Machine Learning Software Engineers to ensure a consistent and reliable ML pipeline.\n\n\n\n\n\n\n\n\n\nMachine Learning Technology Experience:\n\n\n* TensorFlow\n\n* Keras\n\n* Scikit\n\n* SageMaker\n\n\n\n\n\n\nGeneral Technology Experience:\n\n\n* Python\n\n* S3\n\n* SQL (Redshift/Athena)\n\n* RabbitMQ\n\n* Kafka\n\n* Comfortable with ssh, bash, and linux\n\n\n\n\n\n\n\nAs part of the team, you'll enjoy:\n\n\n\n\n* Tremendous opportunity to solve some of the industry’s most important challenges\n\n* Working with an extraordinary team of smart, creative, fun and highly motivated people\n\n* Comprehensive health coverage, competitive salary, 401(k) match\n\n* Extensive PTO plan and flexible working hours\n\n\n\n\n\n\n\n\nThe Meet Group is a portfolio of mobile social entertainment apps designed to meet the universal need for human connection. We leverage a powerful live-streaming video platform, empowering our global community to forge meaningful connections. Our primary apps, MeetMe®, LOVOO®, Skout®, Tagged®, and GROWLr, entertain millions of mobile daily active users, generating untold numbers of casual chats, friendships, dates, and marriages. Our apps, available on iPhone, iPad, and Android in multiple languages, combine product innovation with sophisticated data science to both entertain and connect our audience. The Meet Group has a diversified revenue mix consisting of in-app purchases, subscription, and advertising, and we have offices in New Hope, Philadelphia, San Francisco, Dresden, and Berlin. For more information, visit themeetgroup.com, and follow us on Facebook, Twitter or LinkedIn.\n\nThe Meet Group is an equal opportunity employer and a participating employer of Everify. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital, veteran, or disability status \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at The Meet Group

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Startuplifers


closed 
$70k - $120k*

video

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
Come build the future of mobile video and human interaction with Video.io. Video.io is a super sleek zero-latency mobile video stack and API that allows developers to build mobile video apps of the sleekness and robustness of TikTok or Snapchat within a day.\n\nVideo.io is looking for passionate software engineers to join them and help contribute to their machine learning platform for video.\n\nStartuplifers is a non-profit organization connecting the top Nordic talent with San Francisco Bay Area startups. We guarantee a free flight ticket, a hassle-free visa process, and a supportive community, making your transition to San Francisco seamless and fun. Together we will secure the job of your dreams.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Video, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Startuplifers

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Insight Timer


closed 
$70k - $120k*

senior

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nWe are the world's largest meditation community of 18 million people, from 120 countries speaking 50+ languages. We publish 60,000 free guided meditations and music tracks by 8,000 meditation teachers and musicians from around the world.\nWe have been featured by TIME, Forbes, The New York Times and Vogue, and our apps have picked up the Editors Choice award by Google, and App of the Day by Apple on multiple occasions throughout the world.\nThe Role\nMore time is spent on Insight Timer than all other meditation apps combined. Data is one of our key competitive advantages as we have more variety and more depth than any other meditation app. This is a unique opportunity to be an integral part of building the nascent Data Science function at Insight Timer. We are hiring Machine Learning engineers, Data Scientists, Data Engineers and Research Scientists who are passionate about using data, ML and AI to better understand users and to offer new products and experiences that can help improve their lives.\nAs a Senior Machine Learning Engineer you will be owning our entire ML pipeline from ideation to final implementation via countless iterations and improvements. You will have the opportunity to develop a cutting-edge recommendation engine using deep neural networks and modern wide-and-deep recommendation frameworks. You will be supported by Data Engineers, Feature Engineers, and Data Scientists to ensure that your models are powered with high-impact, quick data.\nThe team includes ex-Google and ex-Atlassian employees and is advised by the former Head of Data Science at LinkedIn. You will work cross functionally and collaborate with Engineers, Data Scientists and Product Managers to bring your insights and ideas to life.\nWhat youll do:\n * Implement cutting-edge ML technology to create the best recommendation system in the wellbeing/meditation space\n * Scope, design, create, deploy and tune ML models to improve key metrics that drive business value\n * Work closely with our Data Scientists to incorporate new features and insights that may improve our ML models\n * Own the end-to-end data pipeline with support from our data engineers and feature engineers to ensure seamless integration between our datasets, our ML models and the end-user APIs\n \n\n\nBenefits\n\nOur team is a global bunch of conscious creators who are passionate about building products that make a difference. Like most of the world, we've transitioned to working from home and were working hard to keep our team connected. We host team meditations, focus on our wellbeing, incorporate flexibility into our work week and celebrate our successes along the way. If your application matches what we are looking for we will be in touch. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Insight Timer

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Talroo


closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nAbout the Position \n\nThis Principal Machine Learning Engineer position is a high-impact role at Talroo.  We are looking for an experienced machine learning practitioner with high-standards to help scale and expand high-value business initiatives. \n\nYou will be joining a top-tier team that understands the real-world business opportunity that machine learning enables and how it can transform businesses.  At Talroo, we iterate with A/B testing to fail fast and learn quickly. The result is real, measurable revenue and profit impact.  \n\nThe ideal candidate will have a passion for technology with a clear, solid background in computer science. If you have a proven ability to learn, explore, and quickly turn the latest technologies into value, then you are the perfect candidate. \n\nOur team of experienced engineers has deep industry experience in search/information retrieval.  The team is highly collaborative while also being self-sufficient enough to turn any idea into a business win.  As a high impact teammate, you will help with everything from data ETLs to modeling to model serving to test reporting. This unique opportunity will expose you to deep insights into the technology and the business.  On a day-to-day basis, expect roughly 20% of your time to be on the serving/inference layer, 20% data science modeling, and the rest will be around data cleaning, ETL, and analytics. \n\nThe team is working to improve many facets of the job recommendation process. This involves gathering data from billions of monthly job queries to create, test, and iterate on machine learning models. When successful, we help job seekers find their perfect job faster and employers receive a higher quality of candidate. \n\nWhat we are looking for in a highly qualified candidate: \n\n\n* Big Data processing – Apache Spark is the key to our data pipelines that create our insights. Understanding SQL is a must in this environment.  For maximum performance, we utilize Scala. \n\n* Search technologies – our Lucene/Solr inverse index powers billions of our queries every month. \n\n* High-performance web services – our microservices scale with Java technologies while providing sub-millisecond response times. \n\n* Machine learning – our latest wins have come from ML technologies like gradient boosted trees (XGBoost, MML Spark) and deep learning (TensorFlow, Keras).  Python is the preferred language here. \n\n* Most importantly, the highly qualified candidate has the initiative and ability to quickly learn and apply the above. \n\n\n\n\nMinimum Requirements \n\n\n* Bachelor’s or higher degree in Computer Science from a top university. \n\n* Five (5) to ten (10) years of computer programming work experience with proven, high-value results. \n\n* Two (2) years of data science, machine learning, or data engineering work experience. \n\n\n\n\nBenefits \n\n\n* Highly competitive salary \n\n* Company-paid gym membership \n\n* Comprehensive, company-paid health, vision, and dental insurance premiums for you and your dependents \n\n* 401(k) retirement plan with 3% employer contribution \n\n* Paid company holidays & Unlimited PTO \n\n* Awesome company events \n\n\n\n\n\nTalroo is proud to be an Equal Opportunity Employer. Candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at Talroo

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Cisco Meraki


closed 
$70k - $120k*

exec

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Cisco Meraki

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

User Research International


closed 
$80k - $130k*
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called Machine Learning Cloud Study. We are looking for currently employed Machine Learning Developers and Data Scientists who use AWS Machine Learning Products. This study is a one-time Remote via an online meeting. We’re offering $150 for participation in this study. Session lengths are 60 Minutes. These studies provide a platform for our researchers to receive feedback for existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate.  If it's a match, we'll reach out with a formal confirmation and any additional details you may need.\n\nI have summarized the study details below. In order to be considered, you must take the survey below. Thank you!\n\nStudy: Machine Learning Cloud Study\n\nGratuity: $150\n\nSession Length: 60 Minutes\n\nLocation: Remote\n\nDates: August 31st to September 4th (specific session times are located within the survey)\n\nSurvey: Machine Learning Cloud Study \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at User Research International

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

ZeroEyes


verified closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nZeroEyes was founded by military special operations veterans, self-starters, and elite technologists. Our mission is to prevent gun violence and mass shootings by leveraging Artificial Intelligence.\n\n\nWe are recruiting those interested in joining an extremely high growth startup. If you are searching for a job that asks of you the bare minimum, please do not apply. Your position, perseverance, and skillset are crucial to our mission success. You will be asked to break new ground. We are not looking for passion; we are looking for obsession in our mission to save lives. If you lack the minimum requirements, but believe you are the right candidate, please apply and let us know why you are still a fit. We look forward to speaking with you.\n\n\nIf you are missing some of the skills but believe you are the right candidate, tell us why.\n\n\nResponsibilities:\n\n\n* Build and manage our AI development and operations infrastructure\n\n* Optimize deep learning computer vision training and testing environments\n\n* Visualize training outputs and experiment data in WandB, Tableau, etc.\n\n* Design and automate experiments and data capture methods\n\n* Strategically guide developers and stakeholders as AI SME during new product development\n\n* Develop APIs and integrations that enable our AI models to communicate with partners and customers\n\n* Implement measures to protect our models and data pipelines\n\n* Stay up to date on latest AI research\n\n\n\n\n\nSkills and Experience:\n\n\n* At least 5 years hands-on programming experience working on enterprise products.\n\n* Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, Julia or MatLab.\n\n* Experience building AI models in platforms such as Caffe, TensorFlow or PyTorch\n\n* Installing Nvidia drivers, Cuda, cuDNN\n\n* Linux, Kubernetes and Helm Charts\n\n* Experience with AWS, GCP, Azure, etc a plus\n\n* OpenCV, Nvidia Docker \n\n* Deepstream SDK, TensorRT\n\n* Agile/Jira, Github\n\n\n\n\n\nThis is not a research role. If your only software experience is quickly hacking Python models using libraries like Numpy and Pandas this job isn’t for you.\n\n\nBe ready to show us models you have created and discuss them in great detail.\n\n\nYou will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices. \n\n\nPlease send resumes to [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at ZeroEyes

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Pachama


closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
We are building the worlds first verified forest carbon marketplace. We watch forests, track carbon offsets, and connect buyers to high-quality projects. We need your help to bring transparency and to increase the use of forests to remove carbon.\n\nWe are looking for a Machine Learning Engineer to help us develop state of the art remote sensing applications. You will be working with an A team on the mission of restoring nature to solve climate change. Our datasets include high resolution imagery from Maxar and Planet Labs, LiDAR and open satellite imagery. We are backed by like minded and top investors, such as Saltwater Capital, Chris Sacca, and Paul Graham.\n\nJob is remote, but we prefer candidate to be within three hours of the Pacific time zone.\n\nResponsibilities\n- Develop and maintain Pachama's remote sensing verification models.\n- Interpret models and scientific studies to translate them into clean (and beautiful) code.\n- Develop and improve our pre-processing pipeline.\n\nRequirements\n- Experience processing satellite imagery at scale.\n- Experience training and serving computer vision models.\n- 5+ years of experience with Python.\n- 3+ years of experience with TensorFlow and/or PyTorch.\n- Deep understanding of Data Structures and Algorithms.\n- Experience working in fast paced teams.\n- Hacker mentality.\n- Beginner's mind.\n\nNice to Have\n- Experience with PostGIS.\n- Experience with Beam.\n- Experience with Kubernetes.\n- Experience processing LiDAR.\n- CS Degree or equivalent.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at Pachama

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Advent Health Partners


closed 
$80k - $130k*
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nThe Machine Learning Specialist advances Advent Health Partners’ machine learning strategy.\nAdvent has a number of tools designed to display and gather data. This data has deeper\nmeaning and it is our goal as a company to build a machine learning architecture to maximize\nthe interpretation of this data in order to develop reliable predictive models\n\nEssential Duties and Responsibilities\n Communicate effectively with executive and clinical personnel\n Identify trends and relationships in the data used for creating and testing hypotheses.\n Mine and analyze structured/unstructured data to create algorithms\n Identify information-rich features in large target datasets\n Formulate innovative solutions to problems where machine learning is applicable\n Collaborate with Principal Scientist, Product Manager, Senior Application Developer and\nVP Engineering to produce the best possible end product\n Recommend a scalable, reliable hardware/software/saas platform\n Maintain discussions of proposed features as Github Issues\n Tweak and debug in collaboration with peers\n Maintain Slack conversations during working hours\n Provide work effort estimates to management to assist in setting priorities\n Deliver timely work in accordance with estimates\n Solve problems as they arise and communicate potential roadblocks to manage\nexpectations\n Adhere strictly to all security policies.\n\nMinimum Qualifications (Knowledge, Skills, and Abilities)\n Advanced Degree in a quantitative field such as Computer Science, Physics, Statistics,\nor related fields is preferred\n 2+ years in machine learning post-doc or professional\n Demonstrated experience working with both structured and unstructured data\n Demonstrated experience in identifying information-rich features and/or strategies for\nidentifying information-rich features in large datasets\n\n Knowledge of a variety of machine learning techniques (clustering, classification,\nregression, neural networks, etc.) and their real-world advantages/drawbacks\n Strong programming skills in Python and relevant ML libraries such as scikit-lern,\nTensorFLow and PyTorch.\n Experience in using NLP modules within Python\n Familiar with OCR modules within Python\n Experience in healthcare industry is a plus\n Experience in applying core Machine Learning methodologies: Regression, Naive\nBayesian classifier, Clustering, Matrix Factorization, k-Nearest Neighbors, Natural\nLanguage processing, Decision trees, Support Vector Machines, Neural Networks/ Deep\nLearning, Convolution Neural Networks\n Experience with AWS\n Proficient in REST, JSON\n Understanding of unit testing\n Strong written and verbal communication skills\n An experienced grasp of version control, branches and git in particular\n Thorough understanding of working in development, staging and production\nenvironments\n Unix-related skills including installation with apt-get, compiling from source, intermediate\nshell scripting \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at Advent Health Partners

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

eyeo


closed 
$70k - $120k*

senior

 

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nGet to know us\n\neyeo is an open-source software company that builds products like Adblock Plus, Adblock Browser and Flattr. By leveraging distribution partnerships, we bring ad-blocking technology everywhere, giving users control over their online experience while offering creators, publishers and advertisers more ways to earn money for the free content they provide.\n\nIn combining our reach based on distribution partnerships and our own products, our technology runs on over 150 million devices.\n\nAt eyeo, we’re passionate about user agency, personal privacy, sustainability and keeping the web an open, fair resource for everyone.\n\nHow we work\n\neyeo colleagues are based all over the world. We practice agile and work in distributed, cross-functional teams that span nearly every timezone. Many of our tech teams prefer to work asynchronously.\n\nWhat you'll do\n\nWe're looking for a Senior Machine Learning Engineer to help us apply the recent advances in machine learning to ad blocking problems. In this position you would be expected to build and maintain our internal tools, like admincer, manage inference infrastructure, and integrate trained models into our products. You will be interfacing with machine learning models, deep understanding of machine learning techniques is desirable. You will be part of a team focused on automating ad blocking. This will involve proactively identifying, framing and solving problems.\n\nAfter your morning coffee, you'll be expected to...\n\n\n* Build and maintain internal tools for curation of our datasets\n\n* Deploy and support ML models on the server-side  \n\n* Develop and maintain tools and processes for annotation of ad detection datasets\n\n* Implement data collection and inference routines in both Python and Javascript\n\n\n\n\nWhat you bring to the table...\n\n\n* Applied machine learning background\n\n* Ability to proactively and autonomously solve problems\n\n* Experience implementing machine learning in Python\n\n* Working knowledge in JavaScript and Web development\n\n* Experience with either TensorFlow or PyTorch for both training and inference tasks\n\n* Experience deploying machine learning projects to real users\n\n* Experience working remotely\n\n* Experience working in Agile teams\n\n\n\n\nIt's awesome, but not required, if you know about...\n\n\n* The advertising technology industry\n\n* Ad-blocking technology\n\n* Browser extensions\n\n* Browser instrumentation (Puppeteer, Selenium etc)\n\n\n\n\nWhat we offer\n\n\n* Work from home, one of our offices, or a co-working space—we trust you to find what works best for you\n\n* Stipend for one of the following: home office, co-working space, or relocation\n\n* Flexible working hours\n\n* 26 days paid vacation days\n\n* Your choice of hardware and setup\n\n* Personal and professional development budget\n\n* Monthly childcare stipend for children under 6\n\n* Offsite team days and annual summer company retreat in Cologne\n\n* Company-sponsored hackathons\n\n\n\n\nPrivacy Notice\n\nWhen you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at eyeo

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

PostEra


verified
Santa Clara, CA, USA / Remote
 
$75k - $125k*

senior

 

y combinator

PostEra is hiring a
Remote Senior Machine Learning Researcher

\n\n\nSkills: Torch/PyTorch, Python, Machine Learning, Deep Learning, Reinforcement learning (RL), Natural Language Processing, Amazon Web Services (AWS)\n\n\n\n\nPostEra is building a one-stop-shop for medicinal chemistry to serve the world's drug hunters.\n\n\n\n\n\nThis role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties and predict the outcomes of organic synthesis -- a problem akin to that of games like Go and Chess but with huge therapeutic implications for patients around the world!\n\n\n\n\n\nThe candidate will work directly with Dr Alpha Lee, a world leader in machine learning for drug discovery, and support ongoing projects with pharma and biotech clients in their drug discovery efforts, as well as developing new machine learning techniques. We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra as evidenced by our recent project leading the COVID Moonshot initiative: https://postera.ai/covid\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nSanta Clara, CA, USA / Remote


See more jobs at PostEra

PostEra


verified closed
Bay Area, CA / Remote
 
$80k - $130k*

y combinator

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 13 days ago
\n\n\nSkills: Python, Machine Learning, Deep Learning, Reinforcement learning (RL), Natural Language Processing\n\n\n\n\nPostEra's work and research sits at the intersection of chemistry and machine learning. The candidate we are looking for should have experience in machine learning and ideally chemistry (though not a hard requirement as we focus on potential rather than qualifications). The role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties and predict the outcomes of organic synthesis -- a problem akin to that of games like Go and Chess but with huge therapeutic implications for patients around the world!\n\n\n\n\n\nThe candidate will work directly with Dr Alpha Lee, a world leader in machine learning for drug discovery, and support ongoing projects with pharma and biotech clients in their drug discovery efforts, as well as developing new machine learning techniques. We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra as evidenced by our recent project supporting the COVID Moonshot Consortium: postera.ai/covid.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n \n\n#Location\nBay Area, CA / Remote


See more jobs at PostEra

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Numbrs


closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nNumbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want.\n\nNumbrs was founded with the vision to revolutionise banking. Therefore from day one Numbrs has always been a technology company, which is driven by a strong entrepreneurial spirit and the urge to innovate. We live and embrace technology.\n\nAt Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.\n\nNumbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.\n\nJoin our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.\n\nJob Description\n\nYou will be a part of the Data Science team responsible for designing, developing and supporting big data driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.\nThe team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.\n\nKey Qualifications\n\n\n* a Bachelor’s or higher degree in technical field of study or equivalent practical experience\n\n* a minimum 5 years of professional experience in Machine Learning\n\n* experience in pattern recognition, predictive modelling, and statistical analysis\n\n* strong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLP\n\n* experience in designing Machine Learning systems at scale\n\n* experience with Big Data technologies such as Kafka, Spark, and Cassandra\n\n* fluent with a JVM programming language, ideally Scala.\n\n* comfort working in a dynamic, research-oriented team with several ongoing concurrent projects\n\n* excellent troubleshooting and creative problem-solving abilities\n\n* excellent written and oral communication in English and interpersonal skills\n\n\n\n\nLocation: Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at Numbrs

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Scalable Path


closed 
$75k - $125k*

engineer

This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nScalable Path is looking for a Machine Learning Engineer to join the team. This is a remote, part-time position (approximately 4 hours/day).\n\nCLIENT COMPANY DESCRIPTION:\nOur mission is to connect companies with highly-skilled, remote software development professionals in their time zone at a competitive price. For freelancers, we provide the opportunity to work on challenging, stable projects while earning a good living. For our clients, we provide pre-vetted candidates, guidance, and tools to set them up for success. We genuinely care about the success of our clients and our freelancers and strive to create engagements that work well for both.\n\nDUTIES AND RESPONSIBILITIES:\nWe are interested in using ML to improve the efficiency of our internal recruiting process. One of the bottlenecks in our process is the analysis of job applications. Currently, these applications are individually read and analyzed by a human, which is time-consuming. We would like to build and train a model (or set of models) that can quickly read through all of the applications and suggest the top candidates based on the applicant's profile and answers.\n\nYour responsibilities would include:\n- Getting to know Scalable Path's current recruiting process\n- Understanding our current database schema and application logic\n- Making suggestions on different types of ML models and strategies\n- Working with the existing development team to deploy the solution\n- Working with the existing team to create a highly predictive model\n- Suggest new attributes to consider in order to rank profiles\n- Optimize performance, storage, and processing power\n\nRELATIONSHIPS - WHO YOU'LL BE WORKING WITH:\nYou will be working with the CEO and members of the Scalable Path recruiting and development teams. The client is in the America/Los Angeles (-07:00) PDT time zone.\n\nREQUIRED SKILLS:\n- Strong English Communication\n- Proven related experience with Machine Learning\n- Extensive experience with models, learning procedures and hyperparameters\n- Ability to understand and solve complex problems\n- Deep understanding of Artificial Neural Networks \n- NLP\n- Data modeling and evaluation skills\n- Requirements analysis skills\n- Advanced experience with REST APIs\n- Git\n\nDESIRED (NICE-TO-HAVE) SKILLS:\n- Previous experience working on HR projects with ML or similar\n\nSTART DATE:\nAs soon as possible.\n\nEXPECTED CONTRACT DURATION:\n2-3 months and potentially more depending on the success of the project.\n\nHOURLY RATE:\n\nThe pay rate for this role is from $50 - $100 USD per hour, depending on experience and capability. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at Scalable Path

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Automattic


 
$75k - $125k*

engineer

Automattic is hiring a
Remote Machine Learning Engineer

\nMachine Learning Engineer\n\nWe are the company behind WordPress.com, Jetpack, WooCommerce and Tumblr. We are looking for someone to join a team of data scientists and software engineers to build, deploy, and iterate on applications involving time series analysis, machine learning, natural language processing and/or search. \n\nWhat have we worked on recently?\n\nWe help our users to create powerful sites with ease and enable our colleagues to support our users. Our completed and ongoing projects include\n\n\n* Elfbot – a machine learning project to automatically tag chat transcripts from our live chat user support. \n\n* Automated anomaly detection on business and user data.\n\n* A new Jetpack Search experience with instant search and improved relevance.\n\n* A generalized machine learning pipeline to build audiences for marketing and engagement.\n\n\n\n\nHow do we work?\n\n\n* We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.\n\n* We work as a global and distributed workforce resulting in a unique way of working built around our creed. \n\n* We offer flexible work arrangements allowing our team members to work when they feel best.\n\n* We welcome collaboration, and you can be involved in any discussion across our many communication channels.\n\n\n\n\nEnough about us, let‘s talk more about you. The Machine Learning Engineer position might be a good fit if you:\n\n\n* Have hands-on experience in building and deploying data-intensive applications to production. You care about building reliable and testable infrastructure and pipelines. Familiarity with the Hadoop ecosystem and cloud computing services like AWS and GCP will be advantageous.\n\n* Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, or develop technical roadmaps for future applications. \n\n* Have a demonstrated interest in understanding machine learning techniques and workflows like data preprocessing, feature extraction, and training and evaluation of classification and regression models.\n\n* Bring programming skills in multiple programming languages and paradigms. You are likely to encounter Python, PHP, Scala, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.\n\n* Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.\n\n* Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year.\n\n\n\n\nLike all positions at Automattic, you’ll work remotely, and can be based wherever you live.\n\nABOUT AUTOMATTIC\n\nWe are the people behind WordPress.com, WooCommerce, Jetpack, Simplenote, Longreads, VaultPress, Akismet, Gravatar, Crowdsignal, Cloudup, and more. We believe in making the web a better place.\n\nWe’re a distributed company with more than 1100 Automatticians in 65+ countries speaking 75+ different languages. Our common goal is to democratize publishing so that anyone with a story can tell it, regardless of income, gender, politics, language, or where they live in the world.\n\nWe believe in Open Source and the vast majority of our work is available under the GPL.\n\nDIVERSITY & INCLUSION AT AUTOMATTIC\n\nWe’re improving diversity in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our D&I committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly D&I People Lab series for further learning. Diversity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Read more about our dedication to diversity and inclusion.\n\nHOW TO APPLY\n\nDoes this sound interesting? If yes, click the Apply link below and fill out our application form. In your cover letter, let us know what you can contribute to the team. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive many applications for this position, so try to make your application stand out.\n\nApply for this Job\n\nIf you’re reading this on a site other than automattic.com please ensure you visit automattic.com/work-with-us for the latest details on applying. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


See more jobs at Automattic

Wikimedia Foundation


closed 
$70k - $120k*

dev

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
San Francisco, CA or Remote\n\n\n\nSummary\n\nThe Scoring Platform team builds and maintains machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis.  We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research on the intersection of technology and culture. We are strongly committed to principles of transparency, privacy and collaboration.  We use free and open source technology and we collaborate with researchers in the industry and academia. \n\nAs a Software Engineer of the Scoring Platform team, you will help us build and scale our machine prediction service, train new machine learning models, and implement other data-intensive applications. You’ll travel to conferences to interact with researchers and volunteer contributors to Wikimedia Projects. You’ll help translate abstractions from current research and volunteers’ needs into concrete technologies and we’ll learn about the impacts of those technologies together.\n\nYou are responsible for:\n\n\n* Implementing the Scoring Platform’s data intensive infrastructure and APIs\n\n* Collaborating with researchers and product managers to bring forward foundational technologies for new products\n\n* Coordinating and communicating with other members of the Wikimedia engineering teams on relevant projects\n\n* Engaging with internal documentation efforts and inform other staff in various aspects of Scoring Platform infrastructure and services\n\n* Working in coordination with volunteer developers, editors, and researchers to understand their needs. \n\n* Sharing our values, respect our code of conduct, adhere to our team norms, and work in accordance with all three\n\n\n\n\nSkills and Experience:\n\n\n* Experience with web programming languages (PHP, Javascript, Python, etc.) \n\n* Understanding or willingness to learn basic statistics, machine learning, and/or data analysis techniques.\n\n* Demonstrable experience developing and debugging web applications\n\n* Strong verbal and written proficiency with the English language\n\n* BS, MS, or PhD in Computer Science, Mathematics, Information science, or equivalent work experience\n\n\n\n\nQualities that are important to us:\n\n\n* Engineering mindset and strong experience in Linux ecosystems\n\n* Real world experience writing horizontally scalable web applications\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience participating in open source software projects and communities\n\n* Familiarity with scientific computing libraries in Python\n\n* Experience with web UI development (Javascript, HTML, CSS)\n\n* Experience working with collaborating in online spaces (chatrooms, web forums, etc.)\n\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


See more jobs at Wikimedia Foundation

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

User Research International


closed 
$80k - $130k*
This job post is closed and the position is probably filled. Please do not apply. Closed by robot after apply link errored w/ code 404 11 days ago
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called ML/AI Decision Maker Study. We are looking for currently employed Full-Time Developers who are involved in purchasing data for machine learning purposes in their company. This study is a one-time Remote study via an online meeting. We’re offering $100 for remote and $175 for in-person participation in this study. Session lengths are 60-minutes. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate.  If it's a match, we'll reach out with a formal confirmation and any additional details you may need.\n\nI have summarized the study details below. In order to be considered, you must take the survey below. Thank you!\n\nStudy: ML/AI Decision Maker Study\n\nGratuity: $100 for Remote, $175 for In-Person\n\nSession Length: 60-minutes\n\nLocation: Remote via Online Meeting or In-Person in Redmond, WA\n\nDates: Available dates are located within the survey\n\nSurvey: ML/AI Decision Maker Study (Qualification Survey) \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


See more jobs at User Research International

# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.