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Researcher, Synthetic RL

San Francisco💼 Full-time🗓 2026-01-09 → 2026-07-31

Core

Develop reinforcement learning techniques using synthetic environments and feedback to improve large-scale frontier AI models.

Role type

Research Scientist (Synthetic RL)

Builds

Novel RL algorithms and training approaches for production systems

Domain

Artificial Intelligence / Reinforcement Learning

Deliverable

production ML models

Required skills

reinforcement learning, machine learning research, statistical analysis, experimental design

Preferred skills

engineering, exploring open-ended problem spaces, fast iteration

Technologies

synthetic environments, simulators, self-play

Responsibilities

Research and develop reinforcement learning algorithms, Design and run experiments to study training dynamics, Collaborate with engineers to integrate approaches into training pipelines

Seniority

Individual Contributor, Research Scientist

Rewrite
## About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. ## About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. ## Responsibilities - Research and develop reinforcement learning algorithms - Design and run experiments to study training dynamics and model behavior at scale - Collaborate with engineers and researchers to integrate successful approaches into model training pipelines ## Requirements - Have a strong background in reinforcement learning, machine learning research, or related fields - Have strong engineering and statistical analysis skills - Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving - Are motivated by seeing research ideas influence real-world AI systems ## Nice to Have - None specified ## Benefits - Hybrid work model (3 days in the office per week) - Relocation assistance - Equal opportunity employer - Reasonable accommodations for applicants with disabilities - Commitment to diversity and inclusion - Focus on safe and ethical AI deployment ## About OpenAI 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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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