Engineering Manager, ML

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

ABOUT THE ROLE

You will lead a team of engineers building the infrastructure used to train, test, and evaluate our models. This is one of the few places at Cursor where infrastructure and model behavior meet directly: when something breaks, it's rarely obvious whether it's a systems bug or the model doing exactly what it was trained to do, and your team has to be good at telling the difference before they can fix it.

You'll set technical direction for how we train and evaluate models at scale, stay close enough to the code to debug alongside your team, and work daily with researchers to turn tradeoffs in latency, quality, and cost into infrastructure that actually gets built. We're hiring across a range of scope for this role, depending on experience and the size of problem you're ready to own.

EXAMPLE PROJECTS INCLUDE..

• Building the rollout infrastructure that lets researchers run RL experiments at scale without fighting the plumbing.

• Designing eval pipelines that catch regressions before they ship, and give researchers fast, trustworthy signal on whether a change actually helped.

• Owning the environments in which models are trained and tested: sandboxed, reproducible, and fast enough that iteration speed isn't the bottleneck.

• Bringing rigor to how the team measures quality and progress, in places where "did it ship" isn't the same as "did it work?"

• Partnering with research to translate model-level tradeoffs (latency, quality, cost) into concrete infrastructure decisions.

• Hiring and growing the team: sourcing, interviewing, and closing exceptional infrastructure engineers, while developing your engineers through coaching, mentorship, and high-leverage project assignments.