This role involves owning end-to-end research and engineering projects to improve the post-training of OpenAI's agentic models used by hundreds of millions of people
Job Summary
This role involves owning end-to-end research and engineering projects to improve the post-training of OpenAI's agentic models used by hundreds of millions of people.
The team is responsible for developing horizontal improvements such as factuality, instruction following, tool use, and multi-agent collaboration.
Candidates must be deeply technical engineers who can move quickly in complex systems and make pragmatic decisions without a tightly specified roadmap.
Matching Summary
This role involves owning end-to-end research and engineering projects to improve the post-training of OpenAI's agentic models used by hundreds of millions of people.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Strong ML fundamentals and LLM experience
Hands-on experience with RL and RLHF
Ability to own ambiguous problems end-to-end
Nice-to-have
Experience with large-scale model training systems
Excellent taste in model behavior across domains
Background in building reliable machinery for experimentation