This job post is closed and the position is probably filled. Please do not apply. Work for Lemon.io and want to re-open this job? Use the edit link in the email when you posted the job!
Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
The rate depends on your location, seniority level, skills and experience. We've already paid out over $11M to our engineers.
No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.
We'll manually find the best project for you according to your skills and preferences.
Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours.
We respect your seniority so you can expect no micromanagement or screen trackers.
Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah?
We will support you from the time you submit the application throughout all cooperation stages.
Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do.
Through our community, we will connect you with the best developers from more than 50 countries.
We have several Senior React Full-Stack positions available. Here are the general requirements for these roles.
Senior Ruby & React Position:
5+ years of software development experience
3+ years of commercial experience with React.js and Ruby and Ruby on Rails
Senior React & Python Position:
4+ years of software development experience.
3+ years of commercial experience with React.js and Python.
3+ years of experience with AWS and Django is a must.
1+ years of commercial experience with TypeScript
Hands-on experience with Next.js, PostgreSQL, Node.js, AI would be a plus.
Other requirements:
Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
Strong self-organizational skills — ability to work full-time remotely with no supervision.
Reliability — we want to trust you and expect that you won’t let us and the client down.
Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.
Sounds good for you? Apply now and join the Lemon.io community!
NOT YOUR TECH STACK?
We have different projects for Senior Developers, so if you have 4+ years of commercial experience in software development and you are fluent with AI Engineering, iOS+macOS, we would be happy to communicate and provide you with a project that matches your experience. Just apply, and we will share more details with you.
If your experience matches our requirements, be ready for the next steps:
VideoAsk — watch a short video about our startup, up to 10 minutes
Complete your profile on our website
30-minute screening call
Technical interview
Feedback
Magic Box (we are looking for the best project for you).
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
P.S. We work with developers from 50+ countries in different regions: Europe, LATAM, the U.S (if you are an owner of W-9 ben form), Canada, Asia (Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), and the the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from the following countries:
European: Iceland, Liechtenstein, Kosovo, Belarus, Russia, and Serbia.
Latin America: Cuba and Nicaragua
Most Asian countries and Africa.
We expand and shorten the list of exemptions regularly.
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
Do you represent a company with engineers who match the description and want to collaborate with us through staff augmentation? Then register here.
Please mention the word EMPATHY when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$60,000 — $200,000/year
Benefits
🌎 Distributed team
⏰ Async
🚫 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 Lemon.io and want to re-open this job? Use the edit link in the email when you posted the job!
We also have an ASAP project for a Senior Backend Developer for an AI GRC company (Python and Node.js) (only European timezone) with a rate up to $40/hour.
Are you a talented senior engineer looking for a remote job that lets you show your skills and get better compensation and career growth? Look no further than Lemon.io - the marketplace that connects you with hand-picked startups in the US and Europe.
What do we offer:
- We respect your time: here is no micromanagement or screen trackers. - You can earn with us $5k - $8.5k monthly - the rate depends on your skills and experience. We've already paid out over $10M to our engineers. - You will enjoy your work - it’s possible to communicate async and choose a schedule that works best for you. - You will communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? - We will support you from the time when the application will be started during all our cooperation. - No more hunting for clients or negotiating rates - let us handle the business side of things so you can focus on what you do best. - We'll manually find you the best project according to your skills and preferences. - You will work at the fast-paced startup environment that will keep you motivated and engaged. - We will connect you with the best developers in the world through our community.
We also collaborate with other companies through staff augmentation. More details are [here](https://lemon.io/partnership-with-lemonio/).
Who we are looking for:
- Senior/Senior+ Data Scientist & Data Engineer.
Also we are seeking for:
- Senior/Senior+ ML & Data Scientist - Senior/Senior+ AI & Data Scientist - Senior/Senior+ AI & ML
Requirements:
- Proven experience in either Data Science or Data Engineering, with a minimum of 3 years of hands-on experience. - At least 2 years of commercial experince with AI/ML. - Hands-on experience with Python. - Experience with AWS/GCP/Azure, SQL, and Airflow is a must - Familiarity with NoSQL databases. - Hands-on experience with the following technologies Spark, Hadoop, PowerBI, and Lookeri BigQuery would be a huge plus. - Ability to work with large datasets and write efficient code capable of processing and analyzing data at scale. - Strong analytical and problem-solving skills, with the ability to extract insights and patterns from complex data. - Good command of English, both written and spoken, as you’ll be communicating with clients directly - Strong organizational skills — ability to work full-time remotely with no supervision - Responsibility — we want to trust you - Soft skills — we value clear and effective communication, at the same time, don't force you becoming a public speaker
ALSO, we have a large number of different projects for Senior Full-Stack Developers, so if you have 4+ years of commercial experience in software development you are fluent with Python, Ruby on Rails, React.js or React Native - we would be happy to communicate and provide you a project which matches with your experience. Just apply, and we will share with you more details.
Ready to take your career to the next level? Apply now and join the Lemon.io community!
If your experience matches with our requirements be ready for the next steps:
- VideoAsk (about 10 minutes) - Completing your me.lemon profile - 30 minutes Screening call with our Recruiters - Technical Interview with our Developers - Feedback - Magic Box (we are looking for best project for you)
P.S. We work with developers from 59 countries in different regions: Europe, LATAM, Asia (Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), Canada and the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from certain European countries: Albania, Belarus, Bosnia and Herzegovina, Croatia, Iceland, Liechtenstein, Kosovo, Montenegro, North Macedonia, Russia, Serbia, and Slovenia. Additionally, there are a few countries in Latin America from which we cannot accept applicants: Cuba and Nicaragua, as well as most Asian countries. Furthermore, we are unable to accept applicants from Africa.
Please note that due to the overwhelming number of applications, only suitable candidates will be contacted for an interview.
We strongly ask you to send your CVs in ENGLISH. Application in English will be considered first. Good luck to everyone!
Please mention the word STRIKING when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$60,000 — $90,000/year
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 Proxify and want to re-open this job? Use the edit link in the email when you posted the job!
About us:
Talent has no borders. Proxify's mission is to connect top developers around the world with opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂
Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 3500+ talented developers trust Proxify and its network to fulfill their dreams and objectives.
Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs.
The Role:
We are looking for a Senior ML engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.
What we are looking for:
Proven experience in developing machine learning models
Strong analytical and problem-solving skills
Experience with programming languages such as Python, R, and Java
Experience with machine learning frameworks such as TensorFlow and Keras
Knowledge of data mining, statistics, and data analysis
Familiarity with databases and data warehouses
Excellent communication and interpersonal skills
Responsibilities:
Design scalable and reliable data pipelines for production and monitor models
Develop classification and prediction algorithms to detect new market conditions in real-time
Identify, research, and analyze new data sources to improve model accuracy
Work cross-functionally with optimization engineers, traders, market analysts, and software engineers to continuously improve performance
Develop production code to run locally and in the cloud - debug and tune production systems
What Proxify offers
Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote engagements at the world's most interesting product companies.
Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched engagements.
Fast-track your independent developer career Start small and gain more freedom to take on new engagements as you build your independent developer career.
A recruitment process that values your time Only one hiring process with the possibility of several positions, without any additional tests.
Please mention the word HEARTWARMING when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$40,000 — $80,000/year
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 (#RMjE2LjczLjIxNi44Mw==). 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 Relevance AI and want to re-open this job? Use the edit link in the email when you posted the job!
## Don't wait to be employee #500, join as #20\n\n**[Relevance AI](https://relevance.ai)** is making it easy for data scientists and developers to solve relevance and similarity problems using our vector platform. With the pace that the ML industry is growing there's a gap for great products to make data teams more efficient. Our product is enabling teams from startups to enterprises to **experiment faster** with an API for vectors (deep learning embeddings) and **communicate more clearly** with beautiful visualisations. Join our well-funded team to build a platform that's powering data scientists delivering better products to millions of end-users.\n\n### Why is Relevance the next success story?\n* 💪We're **backed by Insight Partners** as one of their earliest investments on record.\n* 🚀We're **growing rapidly** finding customers in older enterprises and newer startups.\n* 📖We've got an insanely **talented team** with each person an expert in their craft.\n* 🔮We've identified a gap in the market that we're uniquely positioned to solve.\n\n### Why join Relevance?\n* ✨**Have a big impact, every day**. You'll influence the product and our customers with everything you do.\n* 📸**Be part of a memorable journey**. We have a big vision for where we want to take Relevance and we want to make sure along the way you build memories for a lifetime.\n* 🌏**Work from anywhere**. Our HQ is in Sydney with a beautiful harbour view where our whole team is welcome but you can work from anywhere in the world.\n\n### Okay, we've got you interested. What's the role?\n**You will be responsible for building and shipping new features in our API.** We use JavaScript (TypeScript) and Node in our backend.\n\n### What are we looking for?\n* Clear and effective **communication** for asynchronous remote work.\n* Deep understanding of APIs and web technologies.\n* Extensive experience with **JavaScript**, Node and the ecosystem around it.\n* Previously worked on **API-first** products at scale.\n* A positive attitude 🙃\n* No prior knowledge of ML or Data Science is required.\n\n### What's the hiring process?\nWe start off with a 30 minute interview to get to know eachother. If there's a fit we'll have another chat with some team members and share more details about the tasks at hand and learn more about your work experience.\n\n### More about us\n* ✅Check out our [website](https://relevance.ai) and [docs](https://docs.relevance.ai).\n* ✅Read about our [fundraise](https://www.afr.com/street-talk/insight-partners-goes-early-with-relevance-ai-s-3m-raise-20211203-p59el9).\n\nRelevance AI is an equal opportunity employer and we'd like to encourage anyone that sees themselves working with us to apply!\n\n \n\nPlease mention the word **MESMERIZED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$70,000 — $150,000/year\n
\n\n#Benefits\n
⏰ Async\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.
**Overview:**\n\nThe legal cannabis market is one of the most dynamic, fast-paced new industries on the planet. Growing adoption for recreational as well as medical use will require public perceptions to shift and evolve— a massive marketing challenge that has to take into account compliance with multiple states and federal regulatory bodies for trade/communications as well as restrictions on fundamental ad channels taken for granted by traditional consumer product marketers.\n\nThose who will succeed in building enduring, global cannabis brands need tools to navigate problems unique to the space. This is why AMNESIA builds products that help the top, enterprise-size cannabis brands compliantly scale their digital marketing and reach the masses with the broader mission of empowering cannabis communities to positively grow.\n\n**The Role:**\n\nAMNESIA is seeking a Senior Full Stack Developer that has a solid foundation in Machine Learning and NLP to join our team on a contract basis.\n\nYou'll collaborate closely with the founders and product team to understand our customers' problems as well as to plan, strategize, & help to develop our enterprise marketing compliance product from closed beta stage to version one. \n\nYou will be responsible for our entire ML/NLP pipeline from ideation to final implementation in order to level up the core feature sets of our compliance product. \n\nYou should have experience building scalable/maintainable complex systems. You should have experience building intuitive products that empower users. You should be able to do all of the above quickly and more efficiently than most.\n\nFounders are veterans of regulated markets who move quickly and are passionate about their work. Our partners and customers are the cream of the crop of the cannabis industry. This role offers huge room for growth for an aggressive and ambitious individual who is excited to work with the founders to take ownership of the core feature-sets in our new product and making a dent in one of the most exciting new industries in the world.\n\n**This is a fully remote position.** \n\n**Responsibilities**\n\n- Architect, design, and hands-on build the software\n- Work closely with the founders and product team to build and implement ML/NLP models to improve our product experience.\n- Prepares datasets to train and validate models.\n- Understands and interprets data to come up with optimal feature sets.\n- Deploys the machine learning algorithms into production environment.\n- Documents and presents the work in a complete and consistent way.\n- Produce clean, well-documented and efficient code\n- Handle automation, infrastructure and orchestration\n- Brainstorm new features and shape the product road map together with the founding team and clients\n\n**Requirements:**\n\n- 3+ years experience with machine learning, computer vision, & natural language processing required\n- Ability to lead the implementation of machine learning models from problem definition to serving it in production.\n- expertise in algorithms and data structure\n- expertise in building APIs and back-end business logic\n- experience working with Python/Django\n- experience with AWS, Google Cloud\n- experience working with React is preferred\n- Great communication & documentation skills in English - both oral and written\n- You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right.\n\n**Bonus:**\n\n- experience developing Enterprise SaaS products\n- experience with NLP models for processing biomedical, scientific or clinical text\n- You significantly contributed to building an early stage product\n- You were the first engineer or the lead engineer in a venture funded startup\n- experience working with docker/containers and\n- experience with data engineering tools and containerization\n- experience using system monitoring tools and automated testing frameworks\n\n**What We Value:**\n\n- A high bar for quality of code and quality of user experience\n- Ability to collaborate, iterate, and empathize with a variety of individuals (users and technical / non-technical stakeholders).\n- Extreme curiosity, growth mindset, and ability to learn quickly and work independently.\n- You are keen on learning new methodologies, technologies and tools; also, on evaluating their pros and cons. You ask questions; always eager to learn more. But you are also pragmatic.\n- Ability to think through customer requirements to come up with creative and high-impact ways of solving their problems \n\nPlease mention the words **OVAL DUTY LAUGH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$80,000 — $130,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nComplete the attached application form.
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
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This job post is closed and the position is probably filled. Please do not apply. Work for LangAware 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
\nOur job is to help with a preliminary diagnosis of Dementia, with emphasis on Alzheimers Disease. We focus on helping healthcare experts, pharmaceutical companies and policymakers making informed decisions regarding patients and their cognitive status. We are a tech-based startup that focuses on data science, machine learning, and B2B solutions.\n\n\nRole\nAs a Machine Learning Software Engineer, you help design, develop and deploy multiple features for the services offered. Leveraging your expertise to help implement a complex product while ensuring high-quality solutions and performance.\n\n\nResponsibilities\n * Design product solutions according to the needs of the customer (e.g. clinicians, pharma industries, policymakers, etc.)\n * Design and implement Machine Learning models for text and audio classification.\n * Experiment with new features and representations that will enhance the performance of the deployed solutions\n * Automate the experimentation and model deployment processes\n * Predict the future, like modeling whether a patient is likely to exhibit cognitive decline.\n * Deploy the models and services offered while ensuring the scalability and robustness of the solutions\n * Be proficient with MLOps best practices\n * Personalize the end users experience\n * Design and create insightful dashboards and reports for the end-users.\n * Develop business-relevant conclusions from data\n * Work with various stakeholders with different backgrounds (researchers, UX professionals, designers, etc)\n \n\n\nBenefits\n\n * Bucketfuls of challenging problems to solve, so hopefully that's your thing!\n * One of the best learning experiences of your life. You'll get to work with extremely smart and capable people, with interdisciplinary background\n * Very competitive salary\n * Choosing your own working conditions is one of our strongest beliefs\n \n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior 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 The Meet Group 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
By leveraging cutting-edge technologies, innovative product design, and advancements in machine learning and artificial intelligence capabilities, The Meet Group strives to maintain its position as a personal connection leader. Our team's goal is to create a truly personalized user experience while fostering additional business opportunities and operational efficiencies.\n\nAs a talented senior-level Machine Learning Engineer, you love the challenge of solving real-world problems using the latest techniques and tools that bring your models to life. You have experience and are fulfilled by teaching and guiding others. You learn and adapt quickly and can use every tool at your disposal--software, algorithms, statistical models, and beyond--to thoroughly understand and solve challenging problems. You think about modeling considerations in the context of not only implementation but, more importantly, runtime. You appreciate the difference between explaining and fitting statistical models, the importance of useful metrics, and the tradeoff between exploration and exploitation.\n\n\n\n\nAs a Senior Machine Learning Engineer on our Machine Learning team, you will be:\n\n\n\n\n* Developing, testing, and deploying machine learning algorithms to support and improve business processes.\n\n* Creating and maintaining a framework for deploying machine learning algorithms.\n\n* Building applications to implement, track, and monitor models, ensuring the accuracy of deployed algorithms on an ongoing basis.\n\n* Engineering ML-based solutions and algorithms to meet the needs of various TMG business units.\n\n* Conducting end-to-end analysis, including data gathering from internal and external sources; specifying requirements; processing, compiling, and validating data; and ensuring deliverables are met.\n\n* Collaborating with other technology and business teams to build creative and viable solutions.\n\n* Working hand-in-hand with Machine Learning Software Engineers to ensure a consistent and reliable ML pipeline.\n\n\n\n\n\n\n\n\n\nMachine Learning Technology Experience:\n\n\n* TensorFlow\n\n* Keras\n\n* Scikit\n\n* SageMaker\n\n\n\n\n\n\nGeneral Technology Experience:\n\n\n* Python\n\n* S3\n\n* SQL (Redshift/Athena)\n\n* RabbitMQ\n\n* Kafka\n\n* Comfortable with ssh, bash, and linux\n\n\n\n\n\n\n\nAs part of the team, you'll enjoy:\n\n\n\n\n* Tremendous opportunity to solve some of the industry’s most important challenges\n\n* Working with an extraordinary team of smart, creative, fun and highly motivated people\n\n* Comprehensive health coverage, competitive salary, 401(k) match\n\n* Extensive PTO plan and flexible working hours\n\n\n\n\n\n\n\n\nThe Meet Group is a portfolio of mobile social entertainment apps designed to meet the universal need for human connection. We leverage a powerful live-streaming video platform, empowering our global community to forge meaningful connections. Our primary apps, MeetMe®, LOVOO®, Skout®, Tagged®, and GROWLr, entertain millions of mobile daily active users, generating untold numbers of casual chats, friendships, dates, and marriages. Our apps, available on iPhone, iPad, and Android in multiple languages, combine product innovation with sophisticated data science to both entertain and connect our audience. The Meet Group has a diversified revenue mix consisting of in-app purchases, subscription, and advertising, and we have offices in New Hope, Philadelphia, San Francisco, Dresden, and Berlin. For more information, visit themeetgroup.com, and follow us on Facebook, Twitter or LinkedIn.\n\nThe Meet Group is an equal opportunity employer and a participating employer of Everify. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital, veteran, or disability status \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Engineer, Teaching, Video, Mobile and Android 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 NannyML and want to re-open this job? Use the edit link in the email when you posted the job!
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time — we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n* Salary: 54,000 - 66,000 EUR/year\n \n\nPlease mention the words **ZOO SPATIAL MOTOR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$49,000 — $78,000/year\n
\n\n#Location\nEurope, Africa or the Middle East (UTC-2 to UTC+3)
# 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 NannyML and want to re-open this job? Use the edit link in the email when you posted the job!
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time — we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n \n\nPlease mention the words **OBEY SCIENCE HAMMER** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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
$49,000 — $78,000/year\n
\n\n#Location\nEurope, Africa or the Middle East (UTC-2 to UTC+3)
# 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 Insight Timer 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
\nWe are the world's largest meditation community of 18 million people, from 120 countries speaking 50+ languages. We publish 60,000 free guided meditations and music tracks by 8,000 meditation teachers and musicians from around the world.\nWe have been featured by TIME, Forbes, The New York Times and Vogue, and our apps have picked up the Editors Choice award by Google, and App of the Day by Apple on multiple occasions throughout the world.\nThe Role\nMore time is spent on Insight Timer than all other meditation apps combined. Data is one of our key competitive advantages as we have more variety and more depth than any other meditation app. This is a unique opportunity to be an integral part of building the nascent Data Science function at Insight Timer. We are hiring Machine Learning engineers, Data Scientists, Data Engineers and Research Scientists who are passionate about using data, ML and AI to better understand users and to offer new products and experiences that can help improve their lives.\nAs a Senior Machine Learning Engineer you will be owning our entire ML pipeline from ideation to final implementation via countless iterations and improvements. You will have the opportunity to develop a cutting-edge recommendation engine using deep neural networks and modern wide-and-deep recommendation frameworks. You will be supported by Data Engineers, Feature Engineers, and Data Scientists to ensure that your models are powered with high-impact, quick data.\nThe team includes ex-Google and ex-Atlassian employees and is advised by the former Head of Data Science at LinkedIn. You will work cross functionally and collaborate with Engineers, Data Scientists and Product Managers to bring your insights and ideas to life.\nWhat youll do:\n * Implement cutting-edge ML technology to create the best recommendation system in the wellbeing/meditation space\n * Scope, design, create, deploy and tune ML models to improve key metrics that drive business value\n * Work closely with our Data Scientists to incorporate new features and insights that may improve our ML models\n * Own the end-to-end data pipeline with support from our data engineers and feature engineers to ensure seamless integration between our datasets, our ML models and the end-user APIs\n \n\n\nBenefits\n\nOur team is a global bunch of conscious creators who are passionate about building products that make a difference. Like most of the world, we've transitioned to working from home and were working hard to keep our team connected. We host team meditations, focus on our wellbeing, incorporate flexibility into our work week and celebrate our successes along the way. If your application matches what we are looking for we will be in touch. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Engineer and Music 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.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- € 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior Software Engineer you will work alongside with other engineers in the team, the DevOps Architect and the Software Team Lead to build an awesome, highly usable, performant and scalable frontend/backend that brings the best user experience to our customers.\n\n\n**Primary responsibilities:**\n\n- Collaborate with the Product Owner and Software Team Lead to refine product requirements and build solid software specifications.\n\n- Support and grow Neuronbits applications and platforms by enhancing existing or developing new components which can be reused across of all our products.\n\n- Support a cross-functional team in which frontend and backend activities can be shared among all members.\n\n- Create and execute test cases (Unit Test and End to End).\n\n- Support deployment of new releases to multiple customers worldwide.\n\n\n**Ideally, you’ll have:**\n\n- Good communicator, good documentation skills, team player.\n\n- Self-motivated, self-disciplined and result-oriented\n\n- Strong problem solving and troubleshooting skills\n\n- BS or MS degree in Computer Science or related field.\n\n- 10+ years of experience in a similar role\n\n- Passion for quality development.\n\n- Knowledge of best practices for the full sw development lifecycle, including agile, coding standards, source control management, build processes, testing, release management and operations\n\n- Experience with web UI architecture, UX design and application development.\n\n- Solid knowledge of JavaScript, JavaScript Framework, TypeScript and HTML/CSS\n\n- Experience with React, Redux.\n\n- UnitTest (e.g. Karma, Jasmine, etc...)\n\n- Experience with Python – strong Java/C++ developers willing to jump to Python will also be considered.\n\n- Experienced with python-based web frameworks, such as Django or Flask\n\n- Experience with MySQL, ORM (e.g. SQLAlchemy)\n\n- Experience with REST/API \n\nPlease mention the words **ENDLESS SUBMIT REGRET** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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, Full Stack, Developer, Digital Nomad, DevOps, JavaScript, Python and Backend jobs that are similar:\n\n
$67,500 — $125,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis is an excellent opportunity with unlimited growth and earning potential for a driven, tenacious, intelligent, articulate, ambitious and intuitive person. To apply for this opportunity, please send your resume, cover letter and salary expectations.
👉 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.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- € 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior NLP (Natural Lanague Processing) engineer at Nueronbits you will be responsible for research and development of software which will produce analytics over hundreds of thousands of documents each day, all in real-time. You will be working within a skilled development team, with experts in languages such as Python, C++ and Java, also you will also be working closely with our Data Science team.\n\n\n**Primary responsibilities:**\n\n- Design and developing scalable Machine Learning & AI solutions for processing big amounts of textual data.\n\n- Handle multiple sources of data and effective data manipulation, automating it where possible.\n\n- Research state-of-the-art NLP models.\n\n- Implement NLP models and ensure that they will work with low latency and high accuracy in real-time.\n\n- Write and maintain tools that help to create, deploy, evaluate, and monitor ML models in an effective manner.\n\n\n**Ideally, you’ll have:**\n\n- Degree in Computer Science, Engineering or a related subject.\n\n- Good knowledge of Natural Language Processing techniques and models.\n\n- Experience designing and implementing Neural Networks.\n\n- Experience working with TensorFlow / Keras or similar tools.\n\n- Adaptable and willing to learn new technologies independently.\n\n- Good documentation and communication skills. \n\nPlease mention the words **OMIT DESTROY LATER** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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, Developer and Digital Nomad jobs that are similar:\n\n
$60,000 — $130,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis is an excellent opportunity with unlimited growth and earning potential for a driven, tenacious, intelligent, articulate, ambitious and intuitive person. To apply for this opportunity, please send your resume, cover letter and salary expectations
👉 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 Knock.com 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
\nOur homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, sell them quickly and guide the customer every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.\n\n\nWe’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.\n\n\nAt Knock, we have fun, we move fast, we support and celebrate our fellow teammates, and we live by our POPSICLE values.\n\n\nAs a Sr. Machine Learning Engineer you will: \n\n\n* Design and develop models that produce insights from residential real estate data.\n\n* Develop, train, test, deploy and iterate on modeling approaches and methodologies.\n\n* Evaluate, improve and iterate on the performance of existing ML models.\n\n* Explore and recommend new data to improve model outputs.\n\n* Apply and integrate model predictions to our new and existing products.\n\n* Communicate model outcomes to the broader team.\n\n\n\n\n\nWe’re looking for Knockstars who have: \n\n\n* Must be U.S. based.\n\n* MS or higher in Computer Science, Statistics, Mathematics or equivalent.\n\n* Experience applying existing or novel methodologies to improve existing machine learning models.\n\n* Minimum of 3 years of software development experience including coding, testing, troubleshooting, and deployment.\n\n* Minimum of 2 years experience with building production end-to-end machine learning models at scale.\n\n* Strong knowledge of machine learning frameworks.\n\n* Python programming proficiency.\n\n* SQL, MySQL or Postgres experience.\n\n* Strong desire to contribute to a rapidly growing startup and being comfortable with learning new tools and technologies.\n\n\n\n\n\nBonus points for knowledge of:\n\n\n* Real estate markets, MLS assessor/tax and parcel data.\n\n\n\n\n\nWhat we can offer you:\n\n\n* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.\n\n* Talented, passionate and mission-driven peers disrupting the status quo.\n\n* Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.\n\n* Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.\n\n* This is a 100% remote, full-time career at Knock.\n\n\n\n\n\nWe have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, Phoenix, and Denver with more on the way. In fact, we are proud to be a distributed company with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\n\nKnock is an Equal Opportunity Employer.\n\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us. \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 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 Iterative and want to re-open this job? Use the edit link in the email when you posted the job!
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n
- Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\nPlease mention the words **OCCUR LOUD GLOVE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi44Mw==). 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, Engineer, Developer and Digital Nomad jobs that are similar:\n\n
$70,000 — $130,000/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 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 (#RMjE2LjczLjIxNi44Mw==). 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 Findify and want to re-open this job? Use the edit link in the email when you posted the job!
\nAs part of our engineering team you will be responsible for building our product, an advanced machine learning algorithm within search personalization for e-commerce. As demand for our product continues to increase, we are on a journey to grow the team substantially in 2019. We’d love for you to join us.\n\n\nAbout the role:\n\nAs a Scala Machine Learning engineer you will help us build and maintain our ML platform, which is one of the most advanced that exists today. At Findify, we make extensive use of data-collection, processing and ML algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our ML algorithms to help us achieve this goal.\n\n\nYour responsibilities include:\n\n\n* Implementing new ML algorithms and improving existing ones to fine-tune the search relevancy and recommendation quality we provide our 1500 merchants\n\n* Keeping up-to-date with academic research in the field of AI/ML to make sure our algorithms reflect the latest developments\n\n* Setting up the data processing pipelines to feed these ML algorithms\n\n\n\n\n\nAbout you:\n\nYou are a creative problem-solver with passion for Machine Learning and building scalable architectures.\n\n\nYou are:\n\n\n* Initiative-taking; you are self-motivated, a doer, and can drive projects from start to finish\n\n* A team-player; you are comfortable working with different styles and believe (like us) that together we achieve much more than alone\n\n* Driven; you are used to working hard to achieve a goal you care about and running several projects in parallel\n\n* A great communicator; you are comfortable in communicating in English both written and oral, including leading meetings, selling your ideas and storytelling\n\n\n\n\n\nYou have: \n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training\n\n* At least 2 years of professional experience with Scala. You are able to work on the full development cycle of an application, from designing a system, to validating by the code the possible assumptions and maintaining/improving an existing system\n\n\n\n\n\n* At least 5 years of general development experience including leading the design and development of back-end systems\n\n* Relevant education in Math, Statistics, Computer Science, or Physics. Msc/PhD a plus\n\n\n\n\n\nWe’d be extra impressed if you also have: \n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* Dev-Ops: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n* Experience in working in/with remote teams\n\n* Experience in working in agile/lean methodologies\n\n* A side project or blog that showcases your passion\n\n\n\n\n\nLocation: remote. Flexible within timezone CET +/-2\n\n\nWe believe that the more inclusive we are, the better products we build and the better we are able to serve our customers. Women and other minorities under-represented in tech are strongly encouraged to apply.\n\nABSOLUTELY NO HEAD-HUNTERS OR AGENCIES, PLEASE \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Scala, Machine Learning, Senior, Engineer, English and Education jobs that are similar:\n\n
$75,000 — $125,000/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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