Agent Post-Training, Frontier Evals and Environments Researcher

Responsibilities

• Create ambitious RL environments to push models to their limits and measure frontier capabilities, skills, and behaviors
• Develop new methodologies for automatically exploring model behavior
• Dive deep into the science of measurement, including scalability, reliability, and variance of evaluation methodology
• Help steer training for major training runs
• Design scalable systems and processes to support continuous evaluation
• Build self-improvement loops to automate model understanding

Requirements

• Strong technical fundamentals in machine learning, software engineering, systems, or statistics
• Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, or production ML systems
• Ability to move from vague behavioral problems to concrete experiments
• Experience defining hypotheses, building pipelines, and analyzing results
• Ability to communicate clearly across research, product, infrastructure, and safety teams

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.