Agent Post-Training, Frontier Evals and Environments Research

Responsibilities

• Create ambitious RL environments to push model 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 methodologies
• Help steer training for major model runs to guide research programs
• 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, or post-training
• Experience with evals, graders, synthetic data, or production ML systems
• Ability to move from vague behavioral problems to concrete experiments and hypotheses
• Experience with coding agents or tool-using agents is a plus
• Strong communication skills to work across research, product, infrastructure, and safety teams

Benefits

• Medical, dental, and vision insurance for you and your family
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents)
• Flexible PTO and 13+ paid company holidays
• Mental health and wellness support
• Daily meals in our offices and meal delivery credits
• Annual learning and development stipend
• Relocation support for eligible employees

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.