About the company
The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI.
About the role
We're hiring AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA.
Responsibilities
- Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution.
- Turn real research workflows and model failures into data and evaluation flywheels.
- Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training.
- Build and maintain safe, reliable integrations between our models and OpenAI's research infrastructure.
- Develop research agents, experiment-orchestration systems, and sandboxed runtimes.
- Create metrics and economic models to understand RSI's effects.
Requirements
- Research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems.
- Strong generalist who can move between open-ended research and practical implementation.
- Comfortable building and maintaining data pipelines, tooling, and infrastructure.
- Comfortable working on problems without clear definitions.
- Rigorous thinking about scientific quality, safety, privacy, reliability, performance, and scale.
Conditions
- Location: San Francisco, CA.