Agent Post-Training, Connectors Research
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labonsite$380k–$500k
At a glance
Highlights
- Teach frontier agents to act across Slack, Google Workspace, GitHub and Notion.
- Shape Codex and ChatGPT agents that complete multi-step workflows for users.
- Design experiments that turn model failures into training signal and product fixes.
Ideal candidate
High-agency builder with strong ML and engineering fundamentals who thrives on open-ended problems and cares about shipping useful, reliable agents into real products.
Requirements
- Strong technical fundamentals in machine learning, software engineering, systems, statistics or related field
- Hands-on experience with LLMs, RL, post-training, evals, graders or tool-using agents
- Excited by open-ended problems with noisy signal requiring research taste and execution
- Cares about product impact and what makes an agent useful, reliable and honest
- Can turn vague behavioral problems into concrete experiments and fixes
- Comfortable working across research, product, infrastructure, data and safety
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