ML Engineer [IC3]
Remote + San Francisco
Who we are
Our mission at Sourcegraph is to make it so that everyone can code, not just ~0.1% of the population. We're building the code intelligence platform that powers the world's best code search and the most popular open-source code AI tool. It’s an exciting time to join Sourcegraph—AI has taken over the world, and we aim to automate 99% of the toil in software engineering with our code understanding and code AI tools, leaving the remaining 1% to the irreplicable creative spark from humans.
Our customers range from startups to the Fortune 500, 4/5 FAANG companies, government organizations, Uber, Plaid, and more. We’ve raised $225M at a $2.625B valuation from a16z, Sequoia, Redpoint, Craft and others. We’re making ambitious bets on our future and we’re looking to hire exceptional people to join our team as we make Sourcegraph one of the biggest and most influential companies in the world.
Location
🌎 While we are an all-remote company and hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with PST for at least 20 hours/week.
Preferred locations:
- Hybrid - San Francisco
Why this job is exciting
We recently created a machine learning team at Sourcegraph, aimed at creating the most powerful coding assistant in the world. Many companies are trying, but Sourcegraph is uniquely differentiated by our rich code intelligence data and powerful code search platform. In the world of prompting LLMs, context is everything, and Sourcegraph’s context is simply the best you can get: IDE-quality, global-scale, and served lightning fast. Our code intelligence, married with modern AI, is already providing a remarkable alpha experience, and you can help us unlock its full potential.
We are looking for an experienced full-stack ML engineer with demonstrated industry experience in productionizing large-scale ML models in industrial settings. And if you happen to have an entrepreneurial streak, you’re in luck: We have an enterprise distribution pipeline, so whatever you build can be deployed straight to enterprise customers with some of the largest code bases in the world, without all the go-to-market hassle you’d encounter in a startup.
You will be an engineer at Sourcegraph doing …
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Flexible hours Global team Innovative projects Remote work
Tasks- Build Infrastructure
- Build relationships
- Conduct research
- Develop datasets
AI AI tools Code Intelligence Code Search Coding Data analysis Distributed Systems Experimentation Feature development Full-stack development Infrastructure LLMs Machine Learning ML ML models Prototyping Research Software Engineering
Experience3 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9