Research Scientist
Hybrid (Not specified)Full-timePosted 7mo ago
About the role
Research Scientists who can drive effective reinforcement learning (RL) or mid-training research in a small-team setting, owning ambiguous, hard research problems end-to-end from hypothesis to model deployment, with significant autonomy.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:Reinforcement Learning (RL)Programming / Software Engineering
Nice to have:Data quality and data analysis
Last updated Oct 15, 2026. Interested? Apply on the company site.
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