Own and pursue a research agenda for memory and personalization in frontier models.
Build robust evaluations for tracking modeling improvements.
Design, implement, test, and debug code across the research stack.
Collaborate with research and product teams to guide solutions.
Address long-horizon tasks and memory in post-training contexts.
Contribute to products with research-driven impact.

🎯 Requirements

Background in reinforcement learning research.
Ability to iterate quickly and translate research into product impact.
Experience with long-horizon tasks and memory systems.
Strong debugging skills in large ML codebases.
Comfortable in fast-paced, technical environments.

🎁 Benefits

Hybrid work model (3 days in office per week).
Relocation assistance for new employees.
OpenAI benefits and competitive compensation.

🚚 Relocation support

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