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About
We’re Basket (trybasket.com) – a fresh and exciting new approach to create, share and follow wishlists for the products and services you love. Basket keeps your content organised, up to date, and helps you make better buying decisions across all shopping categories.
To continue our growth, we’re seeking a Backend Engineer who has experience and passion for ETL processes with a focus on data transformation pipelines, data storage in MongoDB, and data delivery via GraphQL APIs. To excel in this role and have a positive impact on our customer success, you’ll have strong experience with AWS infrastructure, serverless architecture, event-driven microservices and a test-driven mindset. You’ll need an ability to learn quickly, think big, and deliver rock-solid results in a fast-paced startup environment. This is an exciting opportunity to join our backend team as we seek to significantly expand our ETL process and support a wide range of interesting data sources.
To thrive at Basket, you’re someone who thinks big, who embraces change, and relishes a fast-paced engineering environment. Of course, on the team side, you’re someone who welcomes collaboration and feedback. You are proactive, continuously look for ways to grow yourself, help teammates, and opportunities to make the products you work on stronger. This is a chance to join an innovative team where you will be challenged, and have significant input to shape a product we believe will become a global household name.
What You'll Do
Write, improve and maintain serverless functions to accurately transform and load data into efficient and organised MongoDB storage
Develop and maintain 3rd party data clients to enrich stored data
Be highly organised and collaborate effectively with remote team members.
About You
The following are essential requirements for this role;
Fluent in English (writing and speaking).
Located within +/- 2hr of UK time (GMT+0)
Minimum 2 years full-time work experience as a backend engineer on production services
Advanced knowledge of Python, and pythonic code.
Experience with MongoDB
Intuitively look for ways to keep code modular, tested, and maintainable.
Keen to learn, share and step outside of your comfort zone to create ambitious solutions to e-commerce challenges.
A high level of energy and enthusiasm about being part of a small, progressive team.
Good To Have
These are good to have, but not essential for the role
Production experience with AWS services in a microservices context, such as Lambda, API Gateway, DynamoDB, S3, SQS, and EventBridge.
Track record of building serverless applications (Serverless Framework or SAM)
Track record with TDD approach to engineering.
Our Culture
Our culture is built on respect, collaboration and a drive to shake up the world of shopping. We’re at the beginning of our journey with opportunity for new team members to lead projects and shape services that customers interact with daily. Our team are conscientious, deep thinkers, always striving to be awesome human beings.
We are an equal opportunity employer and value a diversity of perspectives and backgrounds at our company. We are dedicated to a policy of nondiscrimination in employment on any basis including race, colour, age, sex, religion, disability, or national origin.
Please mention the word HALLOWED when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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
$50,000 — $80,000/year
Location
Europe
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 NannyML and want to re-open this job? Use the edit link in the email when you posted the job!
Description
NannyML, a European VC backed ML monitoring startup, is looking for their first Data Science Writer to turn into the uncontested thought leader on ML monitoring.
About Us
NannyML is an early stage venture funded start-up. We are backed by tech leaders that have founded and grown top data unicorns like the CEO of Datacamp and CTO of Collibra (first Belgian unicorn). At NannyML, we build software for supervising and correcting ML systems in production. We’re creating a one of a kind company by being one of the initial players in the growing ML Monitoring field. By focusing on post deployment Data Science and performance estimation we’ll define the industry for decades to come.
The founders are experienced entrepreneurs that previously founded a specialized machine learning company, where they became experts at building machine learning systems. At NannyML, we take pride in hiring the best people and getting out of their way so that they can make things happen.
About the Role
We are looking for a Senior Data Science Content Creator to shape the content strategy and conceptualize, create and publish content about ML monitoring. You will turn NannyML into the go-to source about ML monitoring and performance estimation. As we grow at NannyML we expect you to grow with us into a Head of Content or a similar role. You will have the opportunity to have a significant impact in the areas of content, marketing, product, research, hiring and people management, among others. You will be actively supported in your growth, by a team who will collaborate to bring about the impact you lead on.
Responsibilities
Work closely with the founders, Research and Product teams to shape the content mission, vision and strategy.
Take full ownership of content discovery, creation and publishing. Ensure our content is high quality, easy to understand and relevant to Data Scientists working with ML in production.
Build a content backlog by doing independent research about ML monitoring and participating in Research and Product team meetings to capture insights discovered by them.
Turn raw insights into great content. Write core content, create interactive visualizations and code to ensure NannyML becomes uncontested thought leader in ML Monitoring.
Manage the content calendar and publishing process together with the growth team to maximize the reach of our content and the engagement of our audience.
Collect insights about how our audience interacts with the content to improve the content strategy and inform product decisions.
Help develop new internal tools, frameworks, and processes to facilitate content discovery, creation and publishing.
Requirements
Portfolio of successful and advanced Data Science content, including written longform content like blogs.
Deep theoretical and practical understanding of Machine Learning, including hands-on experience developing production-ready ML algorithms in Python.
You are extremely proactive, independent and comfortable in proposing new ideas. This also means holding your ground when you believe you are right.
Exceptional communication skills in English - both oral and written.
You live in or are willing to move to EU time zones and you are open to travel occasionally.
Nice to have
Masters or PhD degree in a STEM related field
Formal education in content creation related field.
Experience working at a data-focused startup
3+ years of previous experience as content creator/writer or a Data Scientist.
Benefits
Fully Remote Working Environment
23+ Days of Planned Leave Annually
4000 Eur to choose your own hardware
Paid sick leave and private healthcare plan
We support paid parental leave
Home office, work and well-being allowances (for yoga, gym etc.), and other nice benefits. Total value +12,000€/year.
Compensation: up to 65,000 EUR/year + equity
Our Values
We 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 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 work closely with the founders.
❤ Why you will love to join NannyML
We are a rocketship 🚀
Working with a fast-growing international open source startup with flat structure
You will have full ownership of the things you work on, this includes a stake in the company
Your experience and expertise will be respected and appreciated by a team who are also eager to learn
Fully remote work, with as many opportunities to meet up as you want!
😡 What you might not love
We're a small team, priorities will keep on changing and processes are not fine-tuned yet
Really fast-paced environment with a LOT of work to be done
You will have to learn new things all the time
Please mention the word UNDAUNTED when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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
$70,000 — $90,000/year
Location
Worldwide
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 (#RMTguOTcuMTQuODY=). 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 Iterative and want to re-open this job? Use the edit link in the email when you posted the job!
We’re 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\nWe’re 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 community’s needs and interests.\n\n## Skills we’re looking for\n- Experience in either data science or open source software.\n- Experience blogging or publishing technical content online. Bonus points if it’s 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 don’t have to be a superuser, but we make tools built around Git and you’ll 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\nPlease mention the words **BUILD CRUISE ARMOR** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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\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.
We’re 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\nWe’re 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 community’s needs and growth. \n\n\n## Skills we’re 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 don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n* Experience blogging or publishing technical content online. Bonus points if it’s 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\nPlease mention the words **GRASS EXCESS UNVEIL** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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\nWorldwide
# How do you apply?\n\nFill out our [online application](https://forms.gle/v4scKdfgTfYbXtGTA).
👉 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 eyeo 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
\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 similar jobs related to Machine Learning, Senior, Engineer, JavaScript and Python 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 Ephesoft 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
\nBuilders and Fixers Wanted!\n\nCompany Description: \n\nEphesoft is the leader in Context Driven Productivity solutions, helping organizations maximize productivity and fuel their journey towards the autonomous enterprise through contextual content acquisition, process enrichment and amplifying the value of enterprise data. The Ephesoft Semantik Platform turns flat data into context-rich information to fuel data scientists, business users and customers with meaningful data to automate and amplify their business processes. Thousands of customers worldwide employ Ephesoft’s platform to accelerate nearly any process and drive high value from their content. Ephesoft is headquartered in Irvine, Calif., with regional offices throughout the US, EMEA and Asia Pacific. To learn more, visit ephesoft.com.\n\nReady to invent the future? Ephesoft is immediately hiring a talented, driven Machine Learning Engineer or Data Scientist to play a key role in developing a high-profile AI platform in use by organizations around the world. The ideal candidate will have experience in developing scalable machine learning products for different contexts such as object detection, information retrieval, image recognition, and/or natural language processing.\n\nIn this role you will:\n\n· Develop and deliver CV and NLP systems to bring structure and understanding to unstructured documents. \n\n· Innovate by designing novel solutions to emerging and extant problems within the domain of invoice processing. \n\n· Be part of a team of Data Scientists, Semantic Architects, and Software Developers responsible for developing AI, ML, and Cognitive Technologies while building a pipeline to continuously deliver new capabilities and value. \n\n· Implement creative data-acquisition and labeling solutions that will form the foundations of new supervised ML models. \n\n· Communicate effectively with stakeholders to convey technical vision for the AI capabilities in our solutions. \n\n You will bring to this role:\n\n· Love for solving problems and working in a small, agile environment.\n\n· Hunger for learning new skills and sharing your findings with others.\n\n· Solid understanding of good research principles and experimental design. \n\n· Passion for developing and improving CV/AI components--not just grabbing something off the shelf. \n\n· Excitement about developing state-of-the-art, ground-breaking technologies and owning them from imagination to production. \n\nQualifications\n\n· 3+ years of experience developing and building AI/ML driven solutions\n\n· Development experience in at least one object-oriented programming language (Java, Scala, C++) with preference given to Python experience\n\n· Demonstrated skills with ML, CV and NLP libraries/frameworks such as NLTK, spaCy, Scikit-Learn, OpenCV, Scikit-Image\n\n· Strong experience with deep learning libraries/frameworks like TensorFlow, PyTorch, or Keras\n\n· Proven background of designing and training machine learning models to solve real-world business problems\n\nAdditional information\n\nEphesoft is proud to be an Equal Opportunity Employer. Candidates outside of the United States will not be considered. \n\nEEO Statement:\n\nEphesoft embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Data Science, Engineer and Python jobs that are similar:\n\n
$80,000 — $127,500/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 Ofer Eshed and want to re-open this job? Use the edit link in the email when you posted the job!
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\nPlease mention the words **PIANO REJECT TISSUE** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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 API, Machine Learning, English, Video and Senior jobs that are similar:\n\n
$60,000 — $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 Avanoo and want to re-open this job? Use the edit link in the email when you posted the job!
\nFirst, a bit about Avanoo\n\nHave you ever wondered what the most successful people in the world have, that the rest of us don’t? No, it’s not a high IQ. And no, it’s not that they studied more than the rest of us at school. There are a whole host of attributes that these people embody, which are never taught in school. Things like perseverance, passion, laser-like focus, a positive mindset, and the list goes on and on.\n\nAvanoo exists to help employees at Fortune 1,000 companies embody these attributes, through 3-minute-a-day video programs and deep analytics that help us understand what their people need the most and predict what sort of content can drive the most impact.\n\nIf the skills we learn in school are the applications we use to get through life, the attributes we help people embody at Avanoo are like the operating system.\n\nWe're doing quite well\n\nWe just completed our series A round of investment, grew more than 3x over last year, and unlike many companies in Silicon Valley, we're profitable.\n\nWe've proven over and over again that we can help enterprises drive real impact to their bottom line just through the magic concoction we've put together. For example, with one of our clients, they were able to directly connect millions of dollars in new product innovations after 2 years of working with us. \n\nThe bottom line is, we're scaling so fast that our existing dev team can hardly keep up!\n\nWhat you'll be working on\n\nThat’s where YOU come in: Helping us sustain this incredible growth, by building NLP algorithms to help us analyze data from our customers' systems, deeply understand their culture, and deeply intelligent and insightful reporting that enables us to continue to drive performance for their culture.\n\nIf being part of a team that is building the first-ever platform that tracks and optimizes the human operating system, then read on!\n\nSkills & Requirements\n\n\n* 7+ Years software development experience\n\n* Excellent problem-solving skills\n\n* Solid grasp of OOP Principles\n\n* 2+ years experience with natural language processing\n\n\n\n\nSkilled in at least a few of the following natural language processing techniques \n\nRelevant NLP skills include: \n\n\n* Syntactic & Semantic Parsing\n\n* Word embeddings such as Word2Vec\n\n* Machine Translation & Compilers\n\n* Text Classification & Clustering\n\n* Search Indexing & Fuzzy Matching\n\n* Data Analytics & Error Analysis Machine Learning for NLP\n\n\n\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 and Video 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 Selerity and want to re-open this job? Use the edit link in the email when you posted the job!
\nSenior Machine Learning Engineer\n\nSummary:\n\nSenior Machine Learning Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows. Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia. \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade. Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications. We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced Machine Learning Engineer to join a major initiative at a critical point in our company’s growth. This is a hands-on role, applying the latest technology in natural language processing and machine learning (including deep learning) to real-world problems in capital markets, institutional research, financial news, and social media. Machines are playing an ever-increasing role in finance and we're leading that trend.\n\n\nMust-haves:\n\n* Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.\n\n* Experience applying NLP and/or machine learning to large-scale datasets, especially text.\n\n* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n* Advanced proficiency working in Java in Linux environments.\n\n* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments. Not just research and prototypes.\n\n* Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n* Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n* Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n* Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc. \n\n\nNice-to-haves:\n\n* Advanced degree (MS/PhD) in a quantitative field such as Computer Science or Statistics.\n\n* Proficiency in C++, Python, Scala, or other commonly-used languages.\n\n* Experience with analytics visualization libraries.\n\n* Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n* Deep understanding of how to build software agents and conversational workflows.\n\n* Knowledge of capital markets concepts, entities, and processes.\n\n\nOur stack:\n\n* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, Electron, Scala, etc.\n\n* A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, IntelliJ.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market. \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity. We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team. If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected]. We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview. \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews. It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity. \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence. You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this 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, Engineer, Finance, Java, Apache and Linux 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 Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
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\nDoximity’s 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. We’re 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 you’ll 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 we’re 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\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s 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. We’re 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 people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join 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\nPlease mention the words **TRIM MUFFIN LIGHT** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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 Python, Machine Learning, Data Science, Senior, Medical and Apache jobs that are similar:\n\n
$80,000 — $127,500/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 komoot and want to re-open this job? Use the edit link in the email when you posted the job!
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\nPlease mention the words **DOVE FALSE ANOTHER** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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, Engineer, Backend, DevOps, Java, Travel and Mobile 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 Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
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\nDoximity’s 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 you’ll 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 Doximity’s platforms.\n-Leverage data from Doximity’s 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 physician’s 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 we’re 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\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s 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. We’re 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 people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join 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\nPlease mention the words **SKIN PROUD MAJOR** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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 Python, Machine Learning, Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n
$80,000 — $125,000/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 komoot and want to re-open this job? Use the edit link in the email when you posted the job!
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\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, we’ll leave traditional, standard solutions even further behind—and we’ll 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- You’ll work on a global product that inspires millions of users.\n- You’ll get system access on your first day, as we know you are a smart and responsible engineer.\n- You’ll 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- You’ll work together with enthusiastic engineers, hikers and cyclists.\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- 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 you’re interested in, be it your Twitter/Instagram account or your blog.\n- As we love people that go the extra mile, you’ll get bonus points for doing something creative with komoot. \n\nPlease mention the words **SCISSORS ETERNAL BACHELOR** when applying to show you read the job post completely (#RMTguOTcuMTQuODY=). 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 Java, Python, Machine Learning, Engineer, Backend, DevOps, Travel and Mobile 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 Radical Convergence 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
\nRadical Convergence is looking for extraordinary people who want to join an amazing team and solve big problems for our customers. We are seeking a Machine Learning Engineer to work collaboratively with highly talented team members to create a best-in-class software application. The ideal candidate has experience applying state of the art machine learning algorithms and deep learning frameworks to perform classification, detection, key attribute extraction and other deep learning techniques against multimedia content (i.e. images, videos). The ideal Candidate will also have strong software development skills and scripting experience to prototype algorithms and models working with a team of engineers to productize offerings. \n\nQualifications\n\n\n* 3+ years experience in selecting or developing algorithms for performing a variety of machine learning and computer vision tasks with demonstrable experience\n\n* \n\n3+ years experience in applying and adapting the latest research in machine learning and computer vision to support business objectives including prototype development and product integration.\n\n\n* \n\n3+ years experience performing model training / algorithm development optimizing for speed, size or accuracy and developing / refining new and existing training sets as required.\n\n\n* \n\n5+ years experience designing, developing, enhancing, debugging and implementing software and algorithms using programming languages such as Java, C++, Python, R, or JavaScript.\n\n\n* \n\nProficiency in Machine Learning processes such as feature extraction, statistical approaches, linear and non-linear classifiers, and deep learning including one or more approaches such as Convolutional Neural Networks, Recurrent Neural Networks, Recursive Neural Networks, or Generative Adversarial Networks.\n\n\n* \n\nExperience with deep learning frameworks such as Caffe, TensorFlow, or Torch\n\n\n* \n\nProficiency in in Image Processing, Image Analysis, and/or Computer Vision\n\n\n* \n\nAbility to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. \n\n\n\n\n\nCompensation depends on candidate's experience with relevant machine learning qualifications. Onsite preferred though with the right candidate will consider remote. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning and Engineer jobs that are similar:\n\n
$75,000 — $135,000/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 ING and want to re-open this job? Use the edit link in the email when you posted the job!
\nING is looking for a Data Scientist. Location Amsterdam.\n\n\nPassionate about your field of work: Data Science. Key developments in the Data Science area. Experimenting with new algorithms, packages and tools. Think Forward!\n\n\nIs that you? Please read further:\n\n\n* Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. As a creative and curious Data Scientist, you’re looking forward to solve a wide variety of real-world business problems. From your thorough understanding of the latest algorithms and tooling, you’re able to see where ING can further improve using Big Data. And you have the programming skills to show the value in a pilot/experiment.\n\n* You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, for example in advising about the best way of implementation. You are able to look at things from a different perspective and are entrepreneurial to make original solutions work in real-life. Next to creative, you are also persistent. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.\n\n* You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion is contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of ING.\n\n* You like working in cross-functional teams to realize an ambitious goal. Asking for help to the other top Data Scientists in the team, but also helping them out by sharing your knowledge and capabilities with them. When needed, you are able and willing to guide junior Data Scientists and interns in their work.\n\n\n\n\nWe only hire people with exceptional talents and capabilities!\n\n\nAs a Data Scientist, you have a deep understanding and experience with:\n\n\n* Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc.\n\n* Programming Languages: Python, R. Scala is a pre\n\n* Tools: Spark, Hadoop (ecosystem), MapReduce\n\n* Database handling: SQL, Hive. Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases\n\n* Visualisation tools: D3.js, Shiny, Angular\n\n\n\n\nYour background:\n\n\n* MSc or PhD with excellent academic results in the field of Computer Science/Machine Learning and/or Mathematics/Statistics\n\n* Experience in the Predictive Analytics work field\n\n* Fluent in written and spoken English. Although Dutch is a pre, it is not necessary.\n\n* Experience in working in an Agile/Scrum way is a pre\n\n\n\n\nCompetencies and skills:\n\n\n* Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer\n\n* Willingness to learn: open to feedback, develops on the technical and the interpersonal level\n\n* Teamplayer: strikes effective balance between independence and acting in the interest of the team\n\n* Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs\n\n* Strong communication skills: written and spoken English need to be convincing\n\n* Entrepreneurial: takes up responsibility and makes it happen\n\n* Creative: thinks out of the box\n\n* Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example\n\n\n\n\nWe offer:\n\n\n* Ambition to become the best Data Scientist team (in Banking).\n\n* Real Data Scientist colleagues. Data Diva-like behavior is not our cup of tea.\n\n* Great salary and other terms\n\n* National or Global career possibilities\n\n* Start-up spirit\n\n* Great mix in research, strategic, operational & enterpreneurial assigments.\n\n\n\nIn need of further information or ready to apply?\nCan you identify with this profile? Then apply and become a Data Scientist at ING. Do you have any questions about this position? Please contact Rob van Elburg, Global IT Recruiter, via +31-6-20210769 or [email protected] \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, English, Scala and Junior jobs that are similar:\n\n
$75,000 — $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 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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