OpenAI
Research Engineer / Research Scientist / AI Systems Engineer, RSI
About this role
Join OpenAI's Recursive Self-Improvement team to build AI systems that automate and accelerate research workflows. You'll design evaluations, develop research agents, improve model capabilities, and create infrastructure that enables AI to conduct high-quality research across the full model training and deployment lifecycle.
What you'll do
- Design evaluations for research judgment, hypothesis generation, and long-horizon experiment execution
- Build research agents, experiment-orchestration systems, and sandboxed runtimes supporting real research workflows
- Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training
- Develop safe, reliable integrations between AI models and OpenAI's research infrastructure
- Create metrics and economic models to measure RSI's impact on research productivity and model capabilities
- Turn real research workflows and model failures into data and evaluation flywheels
What they're looking for
- LLM training and fine-tuning
- Model evaluation and benchmarking
- Agent systems design
- Distributed systems and infrastructure
- Data pipeline engineering
- Research methodology and scientific rigor
- Python or similar systems programming
- Cross-functional collaboration
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Describe your experience building or evaluating AI agents. How did you measure their effectiveness?
- Tell us about a time you moved between open-ended research and production implementation. How did you handle ambiguity?