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 (#RMjE2LjczLjIxNi4xMTQ=). 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 (#RMjE2LjczLjIxNi4xMTQ=). 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 Basket and want to re-open this job? Use the edit link in the email when you posted the job!
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 (#RMjE2LjczLjIxNi4xMTQ=). 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 (#RMjE2LjczLjIxNi4xMTQ=). 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 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 (#RMjE2LjczLjIxNi4xMTQ=). 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.
**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 (#RMjE2LjczLjIxNi4xMTQ=). 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!
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.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nPlease mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTQ=). 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
$50,000 — $120,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nJust message and resume to [email protected].\n\nSend it along with your github account if you have one or a piece of code and if you want to stand out - answer one of the following questions.\n\n- What surprising thing have you learned in the last few months?\n- What is a project you're most proud of and why?\n- What is your favorite Data Science book or online resource?
👉 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.
# About the Role\n\nWe are looking for a Senior Data Scientist to help us prototype and implement AI monitoring systems. You will work along with a team of experienced Data Scientists, Data Engineers and Software Engineers. You will be responsible for implementing AI monitoring algorithms. As we grow NannyML, we expect you to grow with us. We envision your path may grow from your position into ML Engineering Team Lead. You will get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\n## Responsibilities\n\n* Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.\n* Tackle new research and ML problems and implement efficient and effective solutions.\n* Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.\n* Help design and develop new internal tools to facilitate product development and algorithmic research.\n* Work closely with the founding to help define the technical roadmap.\n\n# About Us\n\nNannyML is an early stage [venture funded](https://www.eu-startups.com/2020/10/belgian-ai-monitoring-startup-nannyml-secures-e1-million-to-bridge-the-gap-between-ai-and-business/) start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions and a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that we extract from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n## Our values\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will be working closely with the founding team. The team previously founded a specialized machine learning company, where they became experts at building machine learning systems.\n\n# Basic Requirements\n\n* Ignore everything below (including the compensation) if you have significant hands-on experience in AI monitoring\n* 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data\n* Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case\n* Strong experience in Python data stack and ML deployment technologies\n* Software engineering best practices, version control, containerization and testing\n* Exceptional communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right\n* You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally\n\n## Nice to haves\n\n* ML publications, popular technical blog or significant open source contributions\n* Familiarity with model risk management, model monitoring or model maintenance\n* Masters or PhD degree in a STEM related field\n* Experience working at a data-focused startup\n\n# Benefits\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Compensation: up to 85,000 EUR/year + equity \n\nPlease mention the words **COYOTE STAMP VIOLIN** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTQ=). 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
$60,000 — $100,000/year\n
\n\n#Location\nEurope
👉 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 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 (#RMjE2LjczLjIxNi4xMTQ=). 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 (#RMjE2LjczLjIxNi4xMTQ=). 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 Ampcontrol.io and want to re-open this job? Use the edit link in the email when you posted the job!
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, an AI-powered software for electric vehicle (EV) charging.\n\nWe're team of engineers and energy experts, building the new way of EV charging. We help companies to install more charging stations for electric vehicles and to build intelligent electric fleet systems. Our cloud-software is used around the world and has received major industry prizes. We're based in Europe and in the U.S. and are venture backed with leading investors from around the world. We are a remote-first team with current members in Berlin, New York and other locations in Europe.\n\n([link to website](https://www.ampcontrol.io/))\n\n\n[→ click to see all jobs ](https://www.notion.so/Open-Jobs-at-Ampcontrol-io-e2879a73ba344daea679556a7391fcaf)\n\n\n## 🌎 Our Mission\n\nWe're on a mission to help the transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our backend system, including the core optimization system and our customer facing APIs\n- Develop our Python3/Flask API further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n- Work very closely with other developers, data scientists, product management and sales\n- Contribute to the improvement of our software architecture and development process\n- Keep in touch with new and upcoming technologies and be eager to offer new solutions\n\n## ⭐ You have\n\n- More than 2 years of professional experience in software development\n- Solid experience in Python programming\n- Experience in at least one cloud computing platform\n- Experience in SQL\n- Working knowledge of advanced logging, monitoring, metrics and alerting\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Comfortable working in remote environments\n- Motivation to work on electric vehicles and sustainability\n\n## 📚You're willing to learn about\n\n- IoT Hubs and IoT protocols\n- NoSQL and time-series databases\n- Docker and Kubernetes\n- The electric vehicle charging domain\n- Working with and transforming code written by data scientists\n\n \n\nPlease mention the words **LAMP PROBLEM GROUP** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTQ=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nUnited States, Canada, North America, EU
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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 (#RMjE2LjczLjIxNi4xMTQ=). 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 Numbrs 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
\nNumbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want.\n\nNumbrs was founded with the vision to revolutionise banking. Therefore from day one Numbrs has always been a technology company, which is driven by a strong entrepreneurial spirit and the urge to innovate. We live and embrace technology.\n\nAt Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.\n\nNumbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.\n\nJoin our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.\n\nJob Description\n\nYou will be a part of the Data Science team responsible for designing, developing and supporting big data driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.\nThe team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.\n\nKey Qualifications\n\n\n* a Bachelor’s or higher degree in technical field of study or equivalent practical experience\n\n* a minimum 5 years of professional experience in Machine Learning\n\n* experience in pattern recognition, predictive modelling, and statistical analysis\n\n* strong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLP\n\n* experience in designing Machine Learning systems at scale\n\n* experience with Big Data technologies such as Kafka, Spark, and Cassandra\n\n* fluent with a JVM programming language, ideally Scala.\n\n* comfort working in a dynamic, research-oriented team with several ongoing concurrent projects\n\n* excellent troubleshooting and creative problem-solving abilities\n\n* excellent written and oral communication in English and interpersonal skills\n\n\n\n\nLocation: Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, English, Finance and Mobile 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 Scalable Path 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
\nScalable Path is looking for a Machine Learning Engineer to join the team. This is a remote, part-time position (approximately 4 hours/day).\n\nCLIENT COMPANY DESCRIPTION:\nOur mission is to connect companies with highly-skilled, remote software development professionals in their time zone at a competitive price. For freelancers, we provide the opportunity to work on challenging, stable projects while earning a good living. For our clients, we provide pre-vetted candidates, guidance, and tools to set them up for success. We genuinely care about the success of our clients and our freelancers and strive to create engagements that work well for both.\n\nDUTIES AND RESPONSIBILITIES:\nWe are interested in using ML to improve the efficiency of our internal recruiting process. One of the bottlenecks in our process is the analysis of job applications. Currently, these applications are individually read and analyzed by a human, which is time-consuming. We would like to build and train a model (or set of models) that can quickly read through all of the applications and suggest the top candidates based on the applicant's profile and answers.\n\nYour responsibilities would include:\n- Getting to know Scalable Path's current recruiting process\n- Understanding our current database schema and application logic\n- Making suggestions on different types of ML models and strategies\n- Working with the existing development team to deploy the solution\n- Working with the existing team to create a highly predictive model\n- Suggest new attributes to consider in order to rank profiles\n- Optimize performance, storage, and processing power\n\nRELATIONSHIPS - WHO YOU'LL BE WORKING WITH:\nYou will be working with the CEO and members of the Scalable Path recruiting and development teams. The client is in the America/Los Angeles (-07:00) PDT time zone.\n\nREQUIRED SKILLS:\n- Strong English Communication\n- Proven related experience with Machine Learning\n- Extensive experience with models, learning procedures and hyperparameters\n- Ability to understand and solve complex problems\n- Deep understanding of Artificial Neural Networks \n- NLP\n- Data modeling and evaluation skills\n- Requirements analysis skills\n- Advanced experience with REST APIs\n- Git\n\nDESIRED (NICE-TO-HAVE) SKILLS:\n- Previous experience working on HR projects with ML or similar\n\nSTART DATE:\nAs soon as possible.\n\nEXPECTED CONTRACT DURATION:\n2-3 months and potentially more depending on the success of the project.\n\nHOURLY RATE:\n\nThe pay rate for this role is from $50 - $100 USD per hour, depending on experience and capability. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, English and HR jobs that are similar:\n\n
$60,000 — $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 Numbrs 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
\nNumbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want.\n\nNumbrs was founded with the vision to revolutionise banking. Therefore from day one Numbrs has always been a technology company, which is driven by a strong entrepreneurial spirit and the urge to innovate. We live and embrace technology.\n\nAt Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.\n\nNumbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.\n\nJoin our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.\n\nJob Description\n\nYou will be a part of the Data Science team responsible for designing, developing and supporting big data driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.\nThe team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.\n\nKey Qualifications\n\n\n* a Bachelor’s or higher degree in technical field of study or equivalent practical experience\n\n* a minimum 5 years of professional experience in Machine Learning\n\n* experience in pattern recognition, predictive modelling, and statistical analysis\n\n* strong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLP\n\n* experience in designing Machine Learning systems at scale\n\n* experience with Big Data technologies such as Kafka, Spark, and Cassandra\n\n* fluent with a JVM programming language, ideally Scala.\n\n* comfort working in a dynamic, research-oriented team with several ongoing concurrent projects\n\n* excellent troubleshooting and creative problem-solving abilities\n\n* excellent written and oral communication in English and interpersonal skills\n\n\n\n\nLocation: Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, English, Finance and Mobile 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 Wikimedia Foundation 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
San Francisco, CA or Remote\n\n\n\nSummary\n\nThe Scoring Platform team builds and maintains machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis. We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research on the intersection of technology and culture. We are strongly committed to principles of transparency, privacy and collaboration. We use free and open source technology and we collaborate with researchers in the industry and academia. \n\nAs a Software Engineer of the Scoring Platform team, you will help us build and scale our machine prediction service, train new machine learning models, and implement other data-intensive applications. You’ll travel to conferences to interact with researchers and volunteer contributors to Wikimedia Projects. You’ll help translate abstractions from current research and volunteers’ needs into concrete technologies and we’ll learn about the impacts of those technologies together.\n\nYou are responsible for:\n\n\n* Implementing the Scoring Platform’s data intensive infrastructure and APIs\n\n* Collaborating with researchers and product managers to bring forward foundational technologies for new products\n\n* Coordinating and communicating with other members of the Wikimedia engineering teams on relevant projects\n\n* Engaging with internal documentation efforts and inform other staff in various aspects of Scoring Platform infrastructure and services\n\n* Working in coordination with volunteer developers, editors, and researchers to understand their needs. \n\n* Sharing our values, respect our code of conduct, adhere to our team norms, and work in accordance with all three\n\n\n\n\nSkills and Experience:\n\n\n* Experience with web programming languages (PHP, Javascript, Python, etc.) \n\n* Understanding or willingness to learn basic statistics, machine learning, and/or data analysis techniques.\n\n* Demonstrable experience developing and debugging web applications\n\n* Strong verbal and written proficiency with the English language\n\n* BS, MS, or PhD in Computer Science, Mathematics, Information science, or equivalent work experience\n\n\n\n\nQualities that are important to us:\n\n\n* Engineering mindset and strong experience in Linux ecosystems\n\n* Real world experience writing horizontally scalable web applications\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience participating in open source software projects and communities\n\n* Familiarity with scientific computing libraries in Python\n\n* Experience with web UI development (Javascript, HTML, CSS)\n\n* Experience working with collaborating in online spaces (chatrooms, web forums, etc.)\n\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Developer, Digital Nomad, English, Education, Travel 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 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.
This job post is closed and the position is probably filled. Please do not apply. Work for CVEDIA and want to re-open this job? Use the edit link in the email when you posted the job!
CVEDIA helps develop and deploy autonomous systems today. Our suite of tools substantively accelerates the time to train, test and validate neural network/deep learning algorithms. Our customers are driving the future of autonomous application and we are thrilled to help fuel their efforts.\n\nWe are seeking a remote developer responsible for developing features for virtual sensors based on Unity engine. Your primary responsibilities will be to implement shader and scripting functionality translating design ideas, concepts, and requirements into highly performant code. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.\n\nResponsibilities\nTranslate design specification into functional features\n\nCommunicate with other team members to establish effective pipeline and integrate media assets\n\nDesign, build, and maintain efficient, reusable, and reliable code\n\nEnsure the best possible performance, quality, and responsiveness of applications\n\nIdentify bottlenecks and bugs, and devise solutions to address and mitigate these problems\n\nHelp maintain code quality, organization, and automatization\n\nSkills\nExcellent knowledge of Unity, including experience with shaders, 3D concepts,rendering pipeline, scripting, textures\n\nExperience with HLSL\n\nExperience with compute and geometry shaders\n\nExperience with CUDA is a plus\n\nExperience with rendering debug tools, such as Frame debugger, RenderDoc, Pix and NSight\n\nExperience optimizing memory and space usage\n\nPrior experience with a well-known mobile title or AAA titles are a significant asset\n\nAbility to constantly learn and stay in touch with evolving 3D standards and development technologies\n\nStrong understanding of object-oriented programming\n\nFamiliarity with current design and architectural patterns\n\nKnack for writing clean, readable, and easily maintainable code\n\nProficient knowledge of code versioning tools, such as PlasticSCM\n\n\nWhat we offer:\n\nJob location is in Cyberspace.\n\n- Communication with the all team members is done through online tools\n\n- Salary will be paid once a month with a wire transfer\n\n- Job capacity: Full time - Monday - Friday (8 hours daily)\n\nHow should you apply for this job?\n\nPlease state on the mail subject the job position you are applying for.\n\nOnly applications written in English are going to be processed!\n\nDue to time zone difficulties Only applications that are based in Europe will be processed.\n\nPlease mention your country of origin in the email. \n\nPlease send your applications to jobs at cvedia dot com\n\nMore information about us: https://syncity.com \n\nPlease mention the words **DIVORCE GOSPEL SLIDE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTQ=). 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, Game Developer, Developer, Digital Nomad, English and Mobile jobs that are similar:\n\n
$60,000 — $130,000/year\n
\n\n#Location\nEurope
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for 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 (#RMjE2LjczLjIxNi4xMTQ=). 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 Bothouse and want to re-open this job? Use the edit link in the email when you posted the job!
‼️ [Machine Learning/AI Lead needed!] ‼️\n--------------------------------------------------------------\n\n🕦 Full-time\n\n🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n💰 $50 - $90 an hour\n\n⌛ Duration: 4 - 12 months with the ability to extend\n\n🏁 Start: beginning of August 2018\n\n🇳🇴 2 week-long visit in Oslo at the beginning of the project\n\n👥 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYou’ll be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace client’s entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n 👉 Contact: [email protected] \n\nPlease mention the words **MIND EXERCISE RACCOON** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTQ=). 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, Data Science, Executive and English jobs that are similar:\n\n
$75,000 — $122,500/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.
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