Research Engineer / Research Scientist / AI Systems Engineer, RSI

Highlights

• Automate real research workflows to boost productivity across OpenAI.
• Design evaluations for research judgment and long-horizon experiments.
• Build research agents and safe integrations for real research workflows.

What they offer

• Offers Equity

Ideal candidate

Strong generalist who thrives in ambiguity and moves fluidly between research and implementation, excited to use AI to accelerate meaningful, high-quality research.

Requirements

• Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems.
• Are a strong generalist who can move between open-ended research and practical implementation, turning ambiguous problems into clear results.
• Collaborate effectively across the full stack, including systems, data, model training, evaluations, and other research teams.
• Are comfortable building and maintaining the data pipelines, tooling, and infrastructure needed to support emerging AI capabilities.
• Are comfortable working on problems without clear definitions or established playbooks.
• Think rigorously about scientific quality, research taste, safety, privacy, reliability, performance, and scale.
• Are excited about using increasingly capable AI systems to accelerate meaningful research.