About the company
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Recursive Self-Improvement (RSI) team builds AI systems that accelerate and conduct high-quality research at OpenAI.
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 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 on research productivity, model capabilities, and safety
Requirements
- Research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems
- Strong generalist able to move between open-ended research and practical implementation
- Ability to collaborate across the full stack, including systems, data, model training, and evaluations
- Comfort building and maintaining data pipelines, tooling, and infrastructure
- Rigorous thinking about scientific quality, safety, privacy, reliability, performance, and scale
Conditions
- Based in San Francisco, CA