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Location: Remote (preferably you are located between the GMT and GMT+7 time zone: Europe, Africa, Asia)
We offer:
Flexibility: Remote work is the default. Office space in Amsterdam can be arranged, and co-working in Amsterdam and other locations is possible.
Competitive pay.
Equity stake in the company.
A fun, ambitious, and highly talented team.
Annual global company retreat in the world's most captivating locations.
Generous tech allowance.
Flexible travel support for approved business trips.
You will have a clear impact and responsibility from day 1.
Job Requirements
Requirements:
Excited to change the world and solve challenging problems.
Ability to ship code quickly and efficiently.
Proficiency in Python or another major programming language.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of data structures and algorithms.
Ability to work with version control systems (e.g., Git).
Good communication skills and the ability to work in a team environment.
We are impressed by:
Experience building and optimizing end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.
Hands-on experience training a variety of models, including supervised and unsupervised learning models, deep learning models, and reinforcement learning models using tools like TensorFlow, PyTorch, scikit-learn, and other ML frameworks.
Expertise in using command line tools and scripts to preprocess large datasets efficiently.
Proficiency in hyperparameter tuning, model evaluation, and cross-validation techniques to ensure robust model performance.
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling AI solutions.
Experience with MLOps practices to automate and streamline model deployment and monitoring.
Knowledge of data visualization tools and techniques to communicate model insights effectively.
Contributions to the AI/ML community through publications, open-source projects, or relevant forums.
Advanced degrees in a relevant field (Computer Science, Data Science, etc.).
DeSci Labs is an open-source software startup with strong R&D capabilities, dedicated to building infrastructure and innovative products for scientific communication. Backed by $6.5M in funding from leading investors, our mission is to revolutionize the way science is published, validated, curated, and exchanged. We believe in openness, fairness, and truth-seeking.
What We're Building
Our products are designed to accelerate scientific progress by addressing the current system’s shortcomings. We create tools that recognize and reward high-quality science, fostering an environment where the scientific community can thrive through genuine innovation and rigorous research.
Our first application is Nodes, an interactive online platform that lets researchers create, validate, and curate research objects. Research objects are versionable publications that contain a broad range of components such as manuscripts, data, code, and all other files and objects related to scientific research. We will import over 50 million open-access research articles into the Nodes platform this summer, which requires the development of powerful search, browse, sort, and filter functionalities. Nodes will also gain AI capabilities, social features, and unique metrics that require thoughtful product design. Furthermore, Nodes will evolve into a publication platform that enables research-owned scientific journals and communities without paywalls or author publication charges.
We are also developing CODEX (for “Collaborative Data Exchange”). This open scholarly infrastructure protocol aims to weave the truly persistent fabric of the scientific record, where publications and their artifacts can be addressed with high granularity in a participatory open-state repository.
These products will be combined with an incentive layer that rewards communities, journals, and referees for high-quality validation and curation services around scholarly content.
Culture
We value a collaborative and dynamic atmosphere. As a young startup, we support and encourage professional growth: We always find opportunities to expand our skill sets and take on new responsibilities.
We offer flexible remote work arrangements, but we recognize the value of face-to-face interaction for strengthening cohesiveness and creativity in our team. That’s why we offer office space in Amsterdam and bring the full team together at least once a year in inspiring locations. We are an equal-opportunity employer. Join us in shaping our dynamic and innovative company culture.
Please mention the word TRIVIALLY when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$30,000 — $50,000/year
Benefits
🌎 Distributed team
⏰ Async
🏖 Paid time off
🏔 Company retreats
🖥 Home office budget
💰 Equity compensation
👀 No monitoring system
🚫 No politics at work
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Indeed and want to re-open this job? Use the edit link in the email when you posted the job!
Salary Range
Tokyo 15,030,000 - 21,790,000 JPY per year
Your Job
The Search Machine Learning Platform team builds the end-to-end machine learning platform that supports Indeed’s most mission and performance critical products. The team’s mission is to provide the machine learning platform that leverages Indeed’s massive volume of data and incorporates the latest machine learning trends and technologies to power critical products like job search and recommendation teams. We strive to enable teams across Indeed to match every job seeker with the most relevant jobs. The team also ‘dogfoods’ the platform to serve and iteratively improve machine learning models used in all aspects of the job search experience.
As the Staff Data Scientist for this team, you will partner with your team and lead the machine-learning platform evolution that will serve Indeed for years to come. You will lean on the team’s and your technical expertise to serve Indeed’s unique machine learning challenges. You will partner with both engineers and data scientists on your team, and across Indeed products to this end.
You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality machine learning solutions and lead others to do the same. You have delivered challenging technical solutions at scale. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.
As a Staff Data Scientist on the team, you will:
Build a highly performant machine learning framework that works in latency critical use cases like search and ranking.
Incorporate latest data science techniques into our platform to assist better model evaluation and understandability, and serve it to all users
Partner with jobsearch and recommendations teams to build POC ML models that scale to production, and iterate through offline and online experiments
Iterate on model architecture and features via A/B testing to improve models used for our jobsearch globally
Mentor and grow other software engineers, data scientists, and ML engineers across teams
Break down larger ML initiatives into pieces that deliver incremental business value and lead the team to execute on them
Represent Indeed at major ML conferences like NeurIPS, ICML, and ICLR
Who You Are
We are looking for someone who is passionate about designing and building machine learning systems, loves intellectual challenges, is eager to learn, and wants to work with a variety of technologies to “help people get jobs.”
Requirements
5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
Prior success deploying (impactful) ML solutions to large-scale production systems, while collaborating across teams
Solid knowledge of data structures and algorithms
Strong sense of ownership as a technical and product leader
Excellent communication skills in English, both written and verbal with both technical and business audiences
We get excited about candidates who
Have an advanced degree (PhD or MS) or prior research experience in the fields of machine learning, statistics, or computer science
Have the desire to solve difficult problems at the intersection of machine learning, data engineering, and software engineering
Have extensive experience and knowledge with cloud technologies (AWS preferred)
Have search technology experience such as Lucene, Solr and/or Elasticsearch
Have prior success deploying Recommender Systems / Search Ranking / etc. to large-scale production systems
Have designed and analyzed A/B tests
Who We Are
We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people's lives all around the world, one job search at a time.
Our Mission
As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*comScore Total Visits, September 2021)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.
Equal Opportunities and Accommodations Statement
Indeed is deeply committed to creating a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit based or legally protected grounds.
Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at +81 3 4563 2563, or by email at [email protected] at least one week in advance of your interview.
Please mention the word DARINGLY when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$100,000 — $140,000/year
Benefits
🚑 Medical insurance
🏖 Unlimited vacation
🏖 Paid time off
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Indeed and want to re-open this job? Use the edit link in the email when you posted the job!
Salary Range
Tokyo 21,739,000 - 31,521,000 JPY per year
Your Job
We are looking for strong Technical Fellows to help shape the future of our engineering organization. You will be able to work from anywhere in Japan.
The Job Seeker organization within Indeed is responsible for one of Indeed’s core businesses. Our mission is to “Build engineering systems to understand all workers, understand all jobs, deliver the best jobs to job seekers, and help job seekers get closer to being hired.”
As a thought leader at Indeed you will have numerous opportunities to shape how we evolve our products to better match job seekers with jobs. Your technical leadership will guide the future of job search and help millions of job seekers find better jobs. You will have the opportunity to influence engineering direction across a broad set of areas including search, ranking and relevance, data platform and profile, and job applications.
If you are an engineer who's passionate about building innovative products that scale to tens of millions of pageviews a day and to help people find jobs globally, we are looking for you.
Who You Are
You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions. You are someone who finds passion in the craft, someone constantly seeking improvement and a better way to solve tough problems. You have a passion for producing the highest quality code as well as leading others to do the same.
You are someone who either has built or is passionate about building scalable, reliable systems that span multiple data centers as well as AWS and handle millions of requests every day.
Responsibilities
Architect and plan solutions across the Indeed platform spanning multiple teams and organizations.
Partner with senior leadership to develop long term technical vision and strategy.
Design new software systems and enhancements to existing systems to support substantial new software features and products.
Work with Product Managers, Designers, Data Scientists, Test & Software Engineers, and other stakeholders to clarify requirements and to decompose large requests into smaller ones that can be executed sequentially or in parallel.
Provide sound technical guidance, ensure product quality, and help set the technical direction for the team.
Research, experiment, and develop new innovations as well as product and platform improvements that improve jobseeker experiences.
Contribute to the product roadmap, technology, and vision while creating a culture of quality and operational excellence on the team.
Demonstrate strong technical leadership and leverage your years of hands-on technical engineering experience to hold the organization to a high standard of technical excellence.
Share expertise on products and technologies by mentoring other engineers and by providing insightful feedback in code reviews for changes made by other engineers.
Investigate and resolve difficult problems and fix complex bugs; accept escalations of complex issues.
Assist other engineers in designing solutions, prioritizing work items, estimating urgency and business impact, and balancing short-term and long-term results.
Solve deep as well as broad technical problems.
Qualifications
15+ years of experience with large-scale Internet software development
5+ years of experience working in an individual contributor leadership role
Experience influencing a geographically-distributed global software engineering organization comprising hundreds of teams
Experience leading through influence and delivering predictable results in complex organizations
Experience with cloud architectures, hybrid cloud-metal architectures, and AWS native services
Experience with service-oriented, data-centric, event-driven, and high-performance distributed system architectures
BS in computer science , other technical fields or equivalent.
Preferred Qualifications
Experience with large-scale consumer Internet systems, including large-scale experimentation
Experience with scaled machine learning, including data and feature engineering
Familiarity with data-driven product development
Who We Are
We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people's lives all around the world, one job search at a time.
Our Mission
As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*comScore Total Visits, September 2021)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.
Equal Opportunities and Accommodations Statement
Indeed is deeply committed to creating a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit based or legally protected grounds.
Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at +81 3 4563 2563, or by email at [email protected] at least one week in advance of your interview.
Please mention the word APPRECIABLE when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$140,000 — $210,000/year
Benefits
🚑 Medical insurance
🏖 Unlimited vacation
🏖 Paid time off
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AssemblyAI and want to re-open this job? Use the edit link in the email when you posted the job!
AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
Our ASR models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)!
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
Join our world-class, remote team and help us build an iconic deep learning company!
Our Team
Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon. They conduct cutting edge deep learning research and develop novel algorithms & techniques to continually push the state of the art in speech recognition & NLP!
Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.
As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.
The Role
We're looking for a senior backend engineer with strong software and cloud engineering skills. You'll help us build highly scalable developer-centric APIs and backend systems powered by state-of-the-art ML models. Some of your responsibilities will include:
Build new API features and endpoints
Build automated test suites and CI/CD pipelines
Build highly scalable event-driven and realtime systems
Instrument systems with metrics, tracing, and logging
Refactor applications to eliminate tech debt
Troubleshoot production issues
You'll love this job if you....
Enjoy solving complex technical problems, even when there is no perfect solution.
Enjoy being in a fast-paced, customer-facing role.
Thrive in small, cross-functional teams. We like to wear many hats here!
You're excited to tackle big technical challenges like building highly scalable architectures and achieving zero-downtime deploys.
Requirements
6+ years of professional experience building backend applications using any popular language such as Python, Java, C#, JavaScript, Go, C/C++
4+ years of experience working with Python
4+ working with Python backend frameworks like Django, Flask, or Tornado
3+ years of working with SQL and NoSQL databases
3+ years of production support experience
3+ years working with common AWS services
2+ years developing REST APIs
Experience migrating systems to meet increasing traffic/scale
Startup or FAANG-type experience - Has worked at a startup or high growth company
Deep AWS knowledge - Has many years of experience solutioning within AWS
Strong Python coding abilities - Can pass difficult programming challenges in a relatively short period of time. Can speak clearly about their thinking throughout these challenges. Can speak to O-notation of algorithms. Has excellent knowledge of common python idioms and libraries.
High scalability experience - Has been a tech leader on scaling systems to hundreds of millions of requests/events per day. Has experience with hyper-observability, scaling algorithms, and using production data to drive system changes
Skills
Amazing system design chops - When given a hard problem to solve with a new system, they can quickly shape an effective design and communicate its strengths, weaknesses, and tradeoffs.
High-octane thinking - Engages deeply on subjects of expertise. Thinks ahead many steps and can see where decisions are likely to lead. Their brains compute at a very high level.
Extremely creative - Can find both novel and effective solutions within highly constrained time and resources
Fast learner - Has shown they can ramp up on difficult topics very fast
Exceptional gut instincts - Can practically feel when something is right or wrong. Can use these instincts to quickly point themselves in the right direction.
Opinionated - They have convictions in what they believe and can communicate their position clearly without drama.
Nice to Have
Machine learning experience - Has worked with machine learning models at scale
Experience integrating and deploying ML models into production
Benefits (US)
Competitive Salary + Bonus
Equity
100% Remote team
Unlimited PTO
401K
Premium Healthcare (100% Covered for you + dependents)
Vision & Dental Care
$1K budget for your home office setup
New Macbook Pro (or PC if you prefer)
3-4x/year company paid team retreat
Please mention the word COMPASSIONATE when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$120,000 — $200,000/year
Benefits
💰 401(k)
🌎 Distributed team
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Unlimited vacation
🏔 Company retreats
🏬 Coworking budget
🖥 Home office budget
💰 Equity compensation
🚫 No politics at work
🎅 We hire old (and young)
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Carted and want to re-open this job? Use the edit link in the email when you posted the job!
**OUR STORY**\n\nWe’re 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\nPlease mention the word **PEPPED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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\nWorldwide
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Tesla and want to re-open this job? Use the edit link in the email when you posted the job!
**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 Tesla’s 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\nPlease mention the words **FOREST SHED CERTAIN** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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#Location\nPalo Alto, Austin or Remote
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for AI FinTech and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\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 similar jobs related to Machine Learning, Education, Finance, Cloud, Linux and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Ampcontrol.io and want to re-open this job? Use the edit link in the email when you posted the job!
## 🚀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## ⭐ 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\nPlease mention the words **LAMP PROBLEM GROUP** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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#Location\nUnited States, Canada, North America, EU
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Cisco Meraki and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years 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 similar jobs related to Machine Learning, Engineer, Executive, Amazon, Cloud, Python, Apache and Backend jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for User Research International and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years 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 similar jobs related to Machine Learning, Video and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Automattic and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\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 similar jobs related to Machine Learning, Engineer, Cloud, Travel and Marketing jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for dploy.ai and want to re-open this job? Use the edit link in the email when you posted the job!
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 don’t 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\nPlease mention the words **EYE THEY TOWER** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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 similar jobs related to Machine Learning, Golang, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Location\nEurope
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Netdata Inc. and want to re-open this job? Use the edit link in the email when you posted the job!
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\nPlease mention the words **JUMP WAVE WALL** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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 similar jobs related to Machine Learning, Senior, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $125,000/year\n
\n\n#Location\nUTC -3 to UTC +5
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for PaperClip orporated and want to re-open this job? Use the edit link in the email when you posted the job!
\nWe are looking for an experienced Machine Learning Engineer to help us build-out artificial intelligence capabilities into our existing line of cloud product services. You will be responsible for developing software components for our products to utilize machine learning for the recognition of document image data, forms and handwriting. Your ultimate goal will be to shape and build efficient self-learning application subsystems to eliminate the need for human processing. \n\nResponsibilities Include:\n\n\n* Software architecture, design and implementation\n\n* Train & Validate TensorFlow Models for Hand Written Text Recognition\n\n* Deploy TensorFlow Models in Azure cloud that support multi-threading\n\n* Build a service (API) to access deployed model in Azure and validate image text\n\n* Create an automated schedule to daily train model with new data to improve accuracy\n\n* Build multiple versions of TensorFlow Model based on accuracy improvement and deploy improved model version to Azure cloud\n\n\n\n\nQualifications:\n\n\n* Bachelor degree in Computer Science / Engineering and 10+ years of software development experience\n\n* Proven experience with Machine learning technologies such as TensorFlow\n\n* Experience with Python, Python Packages, OpenCV and Keras\n\n* Experience with Microsoft Azure\n\n* U.S. citizenship required\n\n* Must pass a security background check.\n\n\n\n\nRequired skills:\n\n\n* Commercial application development experience\n\n* Ability to write robust code in Python, Java and C#\n\n* RESTful Web Service development\n\n* Must be able to work independently and remotely\n\n* Must be detail oriented with good oral and written communication skills\n\n\n\n\nThis position has possible option in future to hire into a full time permanent position. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Developer, Digital Nomad, Java, Cloud, Python, Microsoft and Engineer jobs that are similar:\n\n
$70,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Thrive Global and want to re-open this job? Use the edit link in the email when you posted the job!
\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity: raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms: TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies: Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies: Docker, Kubernetes, or OpenStack\n\n* Public Cloud: Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Teaching, Amazon, Java, Cloud, Python, Junior and Apache jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Simon Data and want to re-open this job? Use the edit link in the email when you posted the job!
\nABOUT US\n\nSimon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.\n\nWe are the first and only enterprise customer data platform with a fully-integrated marketing cloud. Moving beyond the limitations of both categories, Simon’s platform empowers businesses to leverage enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.\n\nOur culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.\n\nTHE ROLE\n\nAs a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. In the model building process, we prioritize interpretable models whose training and performance yield insights about the underlying process, along with optimizing the selected objective. Finally, we believe that Don Knuth is more right about machine-learning models than anything else when he said premature optimization is the root of all evil. We only fix what needs fixing, but we fix it right.\n\nWHAT YOU’LL DO\n\n\n* Architect and implement the infrastructure used by Simon’s data scientists to analyze and model client data\n\n* Own the productionalization and performance of the statistical models deployed into Simon’s predictive products\n\n* Add new features to Simon’s industry-leading marketing cloud that enable adoption of predictive models\n\n* Coordinate feature launches between cross-functional parts of the business\n\n* Mentor our less senior staff and help them raise the bar technically and professionally\n\n* Collaborate with an engineering team who is passionate about quality, staying ahead of the curve, and teamwork.\n\n\n\n\nQUALIFICATIONS\n\n\n* Minimum of 3-5 years of production-level software engineering experience\n\n* Broad knowledge of machine learning models (and their performance characteristics) for classification and regression tasks\n\n* Experience in at least one statistical coding environment (numpy/pandas, R, etc.)\n\n* Fluency in SQL\n\n* Specific experience designing and building machine-learning models\n\n* Front-end development experience, especially in React/Redux applications is a plus\n\n* Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus\n\n* Excellent communication of statistical concepts to expert & non-expert audiences\n\n\n\n\nVisa sponsorship for this role is currently not available\n\nDiversity \n\nWe’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Cloud, Senior and Marketing jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
Southampton, United Kingdom - Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team o... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Anywhere, headquartered in Southampton, UK, United Kingdom - Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team o... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
This job post is closed and the position is probably filled. Please do not apply. Work for HigherEducation.com and want to re-open this job? Use the edit link in the email when you posted the job!
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\nWe’re 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 company’s 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\nPlease mention the words **WEALTH STAIRS TOSS** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTA=). This is a 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 similar jobs related to JavaScript, React, Machine Learning, Data Science, Full Stack, Developer, Digital Nomad, Education, Cloud and Engineer jobs that are similar:\n\n
$70,000 — $120,000/year\n
# 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Simply Business and want to re-open this job? Use the edit link in the email when you posted the job!
\nIf you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. \n\nWe offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. \n\n\nWe have two different positions.\n\n\n1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! \n\n\n\nSome of our Current Projects: \n\nSeedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!\n\nAerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.\n\nAAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails \n\n* Scala \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.\n\nThings we believe in:\n\n\n\n\n* TDD / BDD\n\n* Continuous Delivery\n\n* Pair Programming\n\n* Build – Measure - Learn\n\n* Active participation to open source\n\n* Our business people writing code (we've not seen this anywhere else!) \n\n* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together) \n\n* Release early and learn quickly - we release our software to production around 15 times a day on average! \n\n* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently. \n\n* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more! \n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to JavaScript, InfoSec, Java, Cloud, CSS, Quality Assurance, HTML, Python, Scala, Ruby, Admin, Machine Learning, Data Science, Senior, jQuery, Sys Admin, Backend, Design and Digital Nomad jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# 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.
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