ML Engineer [IC3]San Francisco, CA

ML Engineer [IC3]

Our mission at Sourcegraph is to make it so that everyone can code, not just ~0.1% of the population. We are transforming how the world's most important companies build software by industrializing development with AI. Today, most professional developers spend a disproportionate amount of time understanding code and performing repetitive, low-level tasksleaving less time for innovation and meaningful impact. We're changing that. Sourcegraph brings AI-powered search and agents to the enterprise, helping teams automate the mundane and amplify what developers do bestsolving hard problems and creating great products. Here's how we're making a difference :

• Accelerating developers with AI agents that deliver insights and precisionenabling 5x faster test creation, 30% increase in merge requests, and saving 20 minutes per developer daily.
• Automating repetitive tasks, from remediating vulnerabilities (saving teams 1,000+ hours annually) to speeding up migrations that would take years to months.
• Enabling innovation by addressing complex problems like automated bug triage, vulnerability detection, and AI-driven code reviews seamlessly integrated into workflows.

Trusted by 7 / 10 top software companies by market cap, 4 / 6 top US banks and many of the companies leading global innovation, like Stripe, Indeed, Tesla, and 1Password, and with $225M in funding from investors like a16z, Sequoia, and Redpoint, we are building the tools that will define the next era of enterprise software development. If you're passionate about solving the hardest problems in software and shaping the future of technology, join us. Let's build something extraordinary together.

Why This Job Is Exciting

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 tightly integrated with our product teams and pushing the boundaries of what AI can do. You will have the full power of Sourcegraph's Code Intelligence Platform at your disposal, and you'll be working on coding agents to multiply dev productivity to unprecedented levels.

About You

You are an experienced full-stack ML engineer with demonstrated industry experience in formulating ML solutions, developing end-to-end data orchestration pipelines, deploying large-scale ML models, and experimenting offline and online to drive business impact for Sourcegraph users. You want to be part of a world-class team to push the boundaries of AI, with a particular focus on leveraging Sourcegraph's code intelligence to leapfrog competitors.

Level

Compensation

Please speak with a recruiter for additional information regarding zone locations.

Interview Process

Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we're the right fit for you Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total.