Researcher, Agent Safety, Training and Evaluations
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labonsite$380k–$500k
At a glance
Highlights
- Train frontier models to reduce harmful or misaligned agent actions.
- Turn real-world agent failures into training signals and safety evaluations.
- Build oversight mitigations that preserve useful autonomy in agents.
What they offer
- Relocation assistance
- Equity
Ideal candidate
Strong executor with excellent judgment who is comfortable with ambiguity and owns projects end to end. Motivated by agent safety and eager to tackle urgent, practical problems, even without prior alignment experience.
Requirements
- Demonstrated strength in research engineering, ML engineering, quantitative research, or applied model research
- Excellent technical execution across experimentation, data, evaluation, and/or infrastructure
- Strong intuition for modern frontier-model research with ability to own ambiguous projects end to end
- remote policy
- Hybrid, 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets