Engineering • Full-time • San Francisco; New York
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Research ScientistCursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.
About the roleWe're looking for Research Scientists who can drive effective RL or mid-training research in a small-team setting. You'll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. You should expect significantly more scope and autonomy than in other research labs.
What you'll do- Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute
- Train graders to improve performance on coding tasks with non-verifiable reward
- Improve the quality and difficulty of datapoints we use for training our models
- Realtime RL for coding agents
You may be a fit if- You have a deep background in RL and strong machine learning fundamentals
- You're an excellent programmer and software engineer
- You can handle ambiguous research tasks with little guidance
- You care a lot about data quality, and can dive into the data when appropriate
- You are truth seeking, aiming to learn more about the science than proving your ideas are correct.
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