About the Team
The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale.
About the Role
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 might thrive in this role if:
- 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.