Research Engineer/Research Scientist, RL/Reasoning

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.

As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models.

We're looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding.

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.

- 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.