Engineering Manager, ML
Cursor · San Francisco
About this role
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.…
Summary from Cursor's official Ashby career feed — read the full description on the original posting ↗
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