Memory & Personalization Research Engineer (Hybrid + Relocation)

OpenAI, Inc.; San Francisco (CA); Hybrid; USD 170.000 - 230.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Hybrid work model

Zusammenfassung

OpenAI is seeking a Research Engineer / Research Scientist for its Personalization-Memory team in San Francisco, CA. The role focuses on advancing memory usage and personalization in frontier models, including reinforcement learning, dataset creation, and evaluations.

You will work across research and product teams to translate insights into scalable solutions. The position requires exploring user signals and human data to improve training and evaluation, with a strong emphasis on fast iteration

Qualifikationen

• Background in frontier model post-training.
• Able to iterate quickly and work in a fast-paced environment.
• Passionate about product-driven research.

Aufgaben

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

Kenntnisse

Frontier models

Post-training research

Reinforcement learning

Evaluations design

Human data signals

Code debugging

Experimentation

Collaboration

Jobbeschreibung

OpenAI is seeking a Research Engineer / Research Scientist for its Personalization-Memory team in San Francisco, CA. The role focuses on advancing memory usage and personalization in frontier models, including reinforcement learning, dataset creation, and evaluations.

You will work across research and product teams to translate insights into scalable solutions. The position requires exploring user signals and human data to improve training and evaluation, with a strong emphasis on fast iteration