Research Engineer / Research Scientist / AI Systems Engineer, RSI OpenAI · San Francisco

About the Team 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. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists, research engineers, and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: - 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 that support real research workflows. - Create metrics and economic models to understand RSI’s current and future…