Close the capability overhang between power users and average consumers — build evals, training data, and reward signals that make ChatGPT more capable for everyone.

OpenAI's Personal AGI North Stars team is hiring a Research Engineer/Scientist to improve model capability and behavior across tool-use, feature discovery, connectors, and instruction following, deployed to millions of ChatGPT/API users. You'll own a research agenda, build evals to track capability improvements, and work across a large ML codebase to translate behavioral bottlenecks into training data and reward signal changes. This interview probes ML research judgment, eval design rigor, and hands-on ability to debug and iterate in a complex research stack.

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What this interview tests

Identifying and closing model capability bottlenecks (tool-use, instruction following, feature discovery)
Building robust evals that track real capability/behavior improvements
Translating eval findings into training data and reward signal changes
Debugging and iterating within a large, complex ML research codebase
Balancing independent research ownership with cross-team collaboration