Research Automation Engineer

OpenAI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

OpenAI is hiring for roles in the RSI team to automate research workflows, evaluate model capabilities, and build scalable research infrastructure. The team collaborates across research, engineering, product, and infrastructure to accelerate high-quality research and deployment of AI systems.

The position is based in San Francisco, CA, with a focus on turning research insights into robust, safe, and scalable systems that advance AI capabilities and research productivity.

Qualifications

• Experience bridging research and engineering in AI systems.
• Strong ability to move between open-ended research and implementable solutions.
• Collaborative work across systems, data, model training, evaluations, and other research teams.

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 supporting real workflows.
• Create metrics and economic models to understand RSI’s impact on research productivity, model capabilities, and safety.

Job description

OpenAI is hiring for roles in the RSI team to automate research workflows, evaluate model capabilities, and build scalable research infrastructure. The team collaborates across research, engineering, product, and infrastructure to accelerate high-quality research and deployment of AI systems.

The position is based in San Francisco, CA, with a focus on turning research insights into robust, safe, and scalable systems that advance AI capabilities and research productivity.