Context Researcher

Responsibilities

• Design and run experiments to improve the scaling of compute on context.
• Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, and evals.
• Build environments that expose model failures and translate those findings into training data or new research directions.
• Partner with product teams to translate user needs into model improvements.
• Work on early-training and alignment interventions, including synthetic data generation and data mixtures.
• Improve large-scale training machinery, focusing on experiment velocity, reliability, and observability.
• Debug complex failures in shipped models to develop concrete hypotheses and fixes.

Requirements

• Strong technical fundamentals in machine learning, software engineering, systems, or statistics.
• Hands-on experience with LLMs, RL, RLHF/RLAIF, or post-training methodologies.
• Experience with evals, graders, synthetic data, or production ML systems.
• Ability to move from vague behavioral problems to concrete, actionable experiments.
• Proficiency in building data pipelines and working with model training workflows.

Preferred Qualifications

• Experience with coding agents or tool-using agents.
• Ability to work cross-functionally across research, product, and infrastructure boundaries.
• A strong interest in model behavior, reliability, and agentic utility beyond simple benchmark performance.

Benefits

• Competitive base salary and generous equity.
• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with employer match.
• Paid parental leave and flexible PTO.
• Daily meals in the office and mental health support.
• Annual learning and development stipend.

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 AI capabilities and seek to safely deploy them to the world through products like ChatGPT and our API.