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Overview
Join Cursor as an Engineering Manager to lead a team building infrastructure for ML models. Drive technical direction and collaborate with researchers to enhance model training and evaluation. 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.
Responsibilities
- โขLead a team of engineers building the infrastructure used to train, test, and evaluate our models.
- โขSet technical direction for how we train and evaluate models at scale.
- โขDebug alongside your team and work daily with researchers.
- โขBuild rollout infrastructure for RL experiments.
- โขDesign eval pipelines to catch regressions before they ship.
- โขOwn environments for model training and testing.
- โขMeasure quality and progress rigorously.
- โขPartner with research to translate model-level tradeoffs into infrastructure decisions.
- โขHire and grow the team through sourcing, interviewing, and mentorship.
Requirements
- โขExperience leading engineering teams building infrastructure for ML models in production.
- โขStrong fundamentals in infrastructure and distributed systems.
- โขComfortable writing code and reviewing PRs.
- โขAbility to operate in ambiguity and make sound decisions.
- โขTrack record of hiring and developing engineers.
- โขFluency in discussing model behavior with researchers and systems design with engineers.
- โขBonus: hands-on experience with RL training infrastructure or eval frameworks.
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