Memory & RL Research Engineer – Personalization

OpenAI; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

OpenAI's Personalization-Memory team in San Francisco is seeking a Research Engineer / Research Scientist. This hybrid role focuses on memory architecture, post-training, and long-horizon tasks for training and evaluations.

You should have a reinforcement learning research background, an ability to iterate quickly, and a talent for translating rigorous research into tangible product impact. Relocation assistance is available.

Qualifications

• Expertise in reinforcement learning research workflows and experimental design.
• Experience with memory systems, personalization, or long-horizon tasks in ML.
• Ability to debug and navigate large ML codebases and collaborate across teams.

Responsibilities

• Own and pursue a research agenda for improving memory and personalization in frontier models.
• Build robust evaluations to track modeling improvements and product impact.
• Design, implement, test, and debug code across the research stack.
• Collaborate closely with research and product teams to influence technical solutions in the product.

Job description

OpenAI's Personalization-Memory team in San Francisco is seeking a Research Engineer / Research Scientist. This hybrid role focuses on memory architecture, post-training, and long-horizon tasks for training and evaluations.

You should have a reinforcement learning research background, an ability to iterate quickly, and a talent for translating rigorous research into tangible product impact. Relocation assistance is available.