Memory & Personalization Research Engineer (Hybrid, Relocation)

OpenAI; California (MO); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI is seeking a Research Engineer/Research Scientist for the Personalization-Memory team in San Francisco, CA. The role focuses on advancing memory usage and personalization in frontier models, with collaboration across research and product teams to deliver product-oriented research outcomes.

The position is based in San Francisco with a hybrid work model (3 days in the office per week) and relocation assistance for new employees.

Qualifications

• Background in frontier model post-training and ML research.
• Ability to iterate quickly on research ideas and experiments.
• Experience turning research into product-facing improvements.
• Strong collaboration with research and product teams.

Responsibilities

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

Skills

Frontier model post-training

Reinforcement learning

Research in ML

Code debugging

Job description

OpenAI is seeking a Research Engineer/Research Scientist for the Personalization-Memory team in San Francisco, CA. The role focuses on advancing memory usage and personalization in frontier models, with collaboration across research and product teams to deliver product-oriented research outcomes.

The position is based in San Francisco with a hybrid work model (3 days in the office per week) and relocation assistance for new employees.