Research Engineer, Code RL (Reinforcement Learning)
San Francisco, CA | New York City, NY
Posted 16d ago
Job Location
San Francisco, CA | New York City, NY
Tech Stack
Remote Work Policy
On-site
Categories
AI Research Engineer
About the job
We are seeking a Research Engineer for our Code RL team, focused on advancing AI models' capabilities in writing, editing, testing, debugging, and shipping real software. This role involves designing RL environments, coding tasks, and reward signals, as well as running training experiments on frontier models. You will diagnose model performance, improve pipeline speed and reliability, and contribute to areas like agentic coding behaviors, code correctness, and autonomous engineering. The position blends cutting-edge research with practical engineering to build high-quality, scalable AI systems.
Responsibilities
- Design RL environments and coding tasks.
- Build reward signals and verifiers for code quality.
- Run training experiments on frontier models.
- Diagnose model performance in software engineering tasks.
- Improve the speed and reliability of iteration pipelines.
- Contribute to areas such as agentic coding, code correctness, and autonomous engineering.
Requirements
- Strong software engineering skills.
- Deep Python expertise, including async/concurrent programming.
- Ability to own systems end-to-end and debug across the stack.
- Capacity to balance research exploration with engineering implementation.
- Rigorous engagement in shaping experimental design and interpreting results.
- Commitment to code quality, testing, and performance.
- Passion for AI's potential impact and commitment to developing safe and beneficial systems.
- Bachelor's degree or equivalent combination of education, training, and/or experience.