Software Engineer, RL Data
Build the tasks, rewards, environments, and data systems used to train and evaluate coding agents. The role requires strong software engineering fundamentals and experience with infrastructure, data, or distributed systems; reinforcement learning experience is a plus.
About the job
Responsibilities
- Design task sets that teach specific coding-agent capabilities and iterate using traces and evaluations.
- Analyze agent traces to identify failure modes and unexpected behaviors.
- Build systems that surface recurring agent behaviors and failures.
- Convert one-off recipes into reusable tools and processes, including improved rewards, cleaner environments, and higher-quality data.
- Partner with research to evaluate whether datasets teach the intended capabilities.
Requirements
- Strong software engineering fundamentals.
- Ability to write careful, fast code.
- Ability to decompose ambiguous capabilities into concrete, measurable tasks.
- Background in infrastructure, data, or distributed systems.
- Comfort analyzing messy real-world agent behavior and turning it into datasets or tools.
Nice-to-have
- Reinforcement learning experience.
Skills
Software Engineering, Reinforcement Learning, Distributed Systems, Data Infrastructure, Agent Evaluation, Dataset Design, Reward Design, Python
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