Research Engineer/Research Scientist, RL/Reasoning
About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale.
What this role actually needs.
About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. Responsibilities: - You love being on the cutting edge of RL and language model research. - You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. - You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. - You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. - You’re comfortable diving into a large ML codebase to debug and improve it. - You have a deep understanding of machine learning and machine learning applications. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Research Engineer/Research Scientist, RL/Reasoning role.
- You love being on the cutting edge of RL and language model research.
- You’re a self-starter who takes initiative and ownership of ideas, driving them to completion.
- You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.
- You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key.
- You’re comfortable diving into a large ML codebase to debug and improve it.
- You have a deep understanding of machine learning and machine learning applications.
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Research Engineer/Research Scientist, RL/Reasoning is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: 7e198d81-34e0-48b6-b64e-a501a75f9d53 · Confidence: 97/100 · Last checked: May 7, 2026
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