Iris is an innovative platform that brings AI superpowers to your camera. With intelligent framing, remote control, image settings corrections, and visual effects, Iris integrates directly with Pan Tilt Zoom (PTZ) cameras and robotic camera heads to automate complex movements and track subjects in real-time. Our remote-first tools lets you control your cameras from anywhere in the world.
About the Role
We are seeking a talented Senior Frontend Engineer to join our team and play a crucial role in developing our cutting-edge, browser-based application. In this position, you will work on a complex single-page application (SPA) built with React and TypeScript, pushing the boundaries of what's possible with frontend technologies.
Responsibilities
Design, develop, and maintain a high-performance, feature-rich React / TypeScript frontend
Implement complex functionalities and processing capabilities within the frontend, ensuring a seamless user experience
Work on projects from conception to completion, ensuring high-quality deliverables
Optimize the frontend for performance, scalability, and reliability
Work with the complexities of high quality and high performance video systems and the realities of the internet
Collaborate with cross-functional teams, including ML and Backend Engineers, to integrate AI modules or other algorithms with specific requirements and constraints
Contribute to the overall architecture and design of the Iris Platform
Stay up-to-date with emerging frontend technologies and best practices, and incorporate them into the application as appropriate
Requirements
Proven experience as a Senior Frontend Engineer, with a strong track record of delivering complex, high-performance SPAs
Deep expertise in React and its ecosystem, including state management libraries
Experience optimizing frontend performance and implementing best practices for scalability
Strong problem-solving skills and the ability to think creatively when faced with technical challenges
Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, remote team environment
Passion for creating exceptional user experiences and a commitment to writing clean, maintainable code
Familiarity with WebRTC, WebAssembly, and WebGPU is a plus, comfort in working with all three is a must
About You
You have a genuine passion for computer science and software engineering, and you enjoy working on personal projects outside of work
You are proactive in staying up-to-date with the latest trends and technologies in the field
You have a diverse range of interests and can bring a unique perspective to problem-solving and innovation
You understand the challenges and opportunities associated with working in a small, fast-paced startup environment
You are comfortable with increased autonomy, wider job expectations, and the need to be flexible and adaptable in a rapidly changing environment
The Opportunity
At Iris, we're building a lean, highly skilled team that values autonomy and innovation. As an early member of our team, you'll have the chance to:
Work on a revolutionary platform that's transforming the way people interact with cameras, and we believe, all devices
Collaborate with a talented, passionate team of engineers, designers, and AI experts
Make a significant impact on the user experience and functionality of our application
Grow your skills and expertise by working with cutting-edge frontend technologies
Enjoy competitive compensation, flexible remote work, and the opportunity to build something truly innovative
Work on a wide range of projects and technologies, expanding your skill set
Experiment, innovate, and step outside your comfort zone
Receive competitive compensation, (truly) remote work, and equity in a fast-paced startup
Please mention the word EXCITED when applying to show you read the job post completely (#RMTguOTcuMTQuODA=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$140,000 — $180,000/year
Benefits
💰 401(k)
🌎 Distributed team
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Paid time off
How do you apply?
If you're excited about the opportunity to join a passionate team working on cutting-edge technology, we'd love to hear from you. Please submit your resume and a brief cover letter highlighting your relevant experience and what drew you to Iris.
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Collaboration takes place at the intersection between people and tools. Modern teams use dozens of tools to build and deploy software, resulting in a slow, painful development cycle and a subpar developer experience.
At Dimension, we're building a collaboration platform to help teams build and deploy products faster. By unifying GitHub, Vercel, Linear, Netlify, Cloudflare, and thousands of other developer tools into a powerful platform, we're enabling engineering teams to deploy products faster than ever before.
We're backed by the best operators in the world, including the founders of GitHub, Netlify, Framer, Pitch, WorkOS and more.
As a Founding AI Engineer at Dimension, you will play a pivotal role in shaping our AI-driven features and capabilities. This senior position requires expertise in generative AI and experience in fine-tuning models. You will work closely with our team to develop cutting-edge solutions that enhance our platform and empower thousands of teams worldwide.
Responsibilities
Design, develop, and deploy generative AI solutions to support Dimension's AI-accelerated features
Fine-tune and optimize AI models to improve performance, accuracy, and efficiency
Collaborate with cross-functional teams to integrate AI capabilities into Dimension's core platform
In particular, develop scalable RAG solutions, using methods such as semantic search, knowledge graphs, and reranking models.
Conduct research and stay up-to-date with the latest advancements in generative AI to identify opportunities for innovation
Contribute to the development of best practices and guidelines for AI development within the organization
Mentor and guide junior AI engineers, fostering a culture of learning and growth
Preferred Skills and Experience
Experience with generative AI and their applications, such as using and fine-tuning LLMs.
Experience in semantic search, implementing RAG applications, or using knowledge graphs is of particular interest.
Experience with natural language processing (NLP) and computer vision.
Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
Knowledge of software development best practices and agile methodologies.
Contributions to open-source AI projects or research publications.
Why work at Dimension
Competitive salary and equity options
Work-life balance with flexible working hours in a fully remote, largely async environment.
Challenging and intellectually stimulating work environment
Continuous learning and growth opportunities
Bi-annual offsite around the world 🌴
Opportunity to shape the future of AI-driven collaboration tools
Join us
If you are passionate about pushing the boundaries of generative AI and want to be part of a team that is revolutionizing the developer experience, we would love to hear from you. Apply now and join us in crafting magical software experiences for the next generation of developers.
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Remote Machine learning engineer for large scale ML project
**Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.**\n\n##About OneSecondDelivery\nWe are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 5 times faster and 100 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technology’s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources.\n\nYou can check out our website OneSec.com for more info\n\n##Job Description\nOneSec is building one of the largest machine learning projects in the drone industry.\nWith our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 60 million training samples. As well as an unsupervised pre-training pipeline with 400 million training samples. We are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning project to this scale. \n\n####Your job has 3 components:\n* Neural network training and optimization\n* Dataset management and generation\n* Supporting our hardware team in building up our exaflop-scale machine learning cluster\n\n####Here are some of the Neural Networks you will be building:\n\n-Delivery surface finder:\nA neural net that picks the optimal delivery surface within a balcony or backyard of a customer.\nUsually this will be a table or chair or a section of the floor that has enough clearance.\n\n-OneSec Fruxel Depthmap:\nThis is a convolutional neural network that takes camera images and generates a 3D representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone. This neural network represents the core of our autopilot system. \n\n-Delivery Clearance Model:\nThis model checks the camera images to see if the scene is safe to approach. We don't fly into a balcony if there's a human or dog in it. And when we approach a restaurant to pickup a package, we make sure the scene is clear of humans, pets etc.\n\n###Requirements\n* The most important thing is that you are excited about this project, and like the mission of our company.\n* Knowledgeable about machine learning and neural networks. Both practical and theoretical.\n* Experience with computer vision and convolutional networks\n* Experience with PyTorch and TensorFlow\n* Good computer skills, and general tech savvy: you will do many tasks like setting up recording devices to record datasets, creating small python programs for dataset labelling and management, post processing large image datasets etc.\n\n###Benefits:\n* Take part in a huge success story\n* Flexible work schedule\n* Competitive cash compensation\n* Equity compensation (become a partner in the company) \n\nPlease mention the words **AUTHOR EXCHANGE MARKET** when applying to show you read the job post completely (#RMTguOTcuMTQuODA=). 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
$30,000 — $100,000/year\n
\n\n#Benefits\n
💰 Equity compensation\n\n
\n\n#Location\nEastern Europe, Latin America, South Asia, Middle East/Africa
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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.
**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 (#RMTguOTcuMTQuODA=). 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.
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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 (#RMTguOTcuMTQuODA=). 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?
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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.
**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMTguOTcuMTQuODA=). 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
# How do you apply?\n\nClick here to apply => https://smrtr.io/5njyK
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# 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 (#RMTguOTcuMTQuODA=). 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
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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.
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 (#RMTguOTcuMTQuODA=). 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.
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- € 80k - 120k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs CTO at Neuronbits, you will be constantly challenged with solving complex technical problems while mentoring the Engineers team and establishing standards on technological best practices. You will get to communicate and work closely with product teams and get to know our cutting edge technologies. You will be ultimately responsible for the architecture and the results of the engineering team, including product delivery milestones, site reliability and uptime.\n\n\n**Primary responsibilities:**\n\n- Develop technical aspects of the company’s strategy and products to ensure alignment with its business goals\n\n- Provide leadership and direction to the software development and data science teams.\n\n- Actively participate in the hiring process, ensuring that only the best talent (attitude + tech skills) join the teams.\n\n- Set standards in coding, development, integration.\n\n- Supervise system infrastructure to ensure functionality and efficiency\n\n- Implement quality assurance, data access and protection processes principles.\n\n- Ensure that projects are accurately estimated and delivered on schedule\n\n- Code review and code quality control\n\n- Reduce the risk of technological breaches and protect sensitive digital information\n\n\n**Ideally, you’ll have:**\n\n- Experience leading teams of engineers who build end-user products and the backend services that power them. Built complex products from scratch.\n\n- Strong technical skills, including extensive software development experience with Saas products.\n\n- Exceptional written and verbal communication skills, with an aptitude to convey clear thoughts and ideas.\n\n- A track record of delivering on ambitious goals.\n\n- Worked in a startup environment. You’re comfortable with ambiguity and change.\n \n\nPlease mention the words **MARRIAGE ECOLOGY SCRUB** when applying to show you read the job post completely (#RMTguOTcuMTQuODA=). 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, Executive, SaaS and Backend jobs that are similar:\n\n
$70,000 — $120,000/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 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 (#RMTguOTcuMTQuODA=). 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- € 40 - 60k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs Machine Learning Engineer at Neuronbits you will support us to improve the quality of our data and possibilities to analyze our data to get a competitive advantage.\n\n\n**Primary responsibilities:**\n\n- Applies supervised and unsupervised learning techniques for solving pattern recognition problems (detection, classification, regression).\n\n- Maintain and improve machine learning models in production and build new ones.\n\n- Understands and interprets data to come up with optimal feature sets.\n\n- Prepares datasets to train and validate models.\n\n- Deploys the machine learning algorithms into production environment.\n\n- Documents and presents the work in a complete and consistent way.\n\n\n**Ideally, you’ll have:**\n\n- At least 3 years of experience in Machine Learning / Data Science.\n\n- Good knowledge and proven experience in supervised/unsupervised learning in different applications: image recognition, classification, recommendation, etc.\n\n- Proven experience in deploying and maintaining Machine Learning algorithms in production.\n\n- Solid programming skills in Python, ++ and/or Java\n\n- Experience in Apache Spark with Scala\n\n- Background on Hadoop ecosystem (Hive, Sqoop, Oozie....).\n\n- Knowledge on databases (SQL and NoSQL). \n\nPlease mention the words **BIRTH CURTAIN HARVEST** when applying to show you read the job post completely (#RMTguOTcuMTQuODA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer and Apache jobs that are similar:\n\n
$80,000 — $120,000/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 (#RMTguOTcuMTQuODA=). 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.
Southampton, United Kingdom - We are seeking an ambitious and versatile Machine Learning Engineer, whose responsibility will be to understand research generated by our researchers and put this into production software. You will work closely with the wider development and R&D teams to bring... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang and Engineer jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Southampton, United Kingdom - Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team o... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Anywhere, headquartered in Southampton, UK, United Kingdom - Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team o... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang, Engineer and Cloud jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
New York, United States - Machine learning engineers must adapt quickly and be able to use all avenues available to perform complex tasks. You will be in charge of world class team of data scientists gathered from notable groups around the globe to solve difficult problems in social in... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning and Golang jobs that are similar:\n\n
$65,000 — $135,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 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.
Remote Golang developer with knowledge within machine learning
Remote work from Poland, Poland - Real Audience is a Swedish tech startup within the Artificial Intelligence / Big Data field, focusing on collecting and storing specific site data, do calculations on the data and help our customers to take actions based on the computed predictions.Now we ... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Golang, Developer and Digital Nomad jobs that are similar:\n\n
$60,000 — $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
👉 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.
San Francisco, United States - NodePrime’s next generation of data center infrastructure analysis requires a massive data pipeline extending from the probing millions of devices to processing machine learning algorithms. We’re looking for engineers that will help develop our pivotal com... \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to JavaScript, Node, Machine Learning, Golang, Engineer, Developer and Digital Nomad 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
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