Research Engineer - Personalization & Memory (RL)

OpenAI; California (MO); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking a Research Engineer / Research Scientist on the Personalization-Memory team in San Francisco, CA. The role involves advancing memory architecture, post-training methods, and long-horizon tasks for training and evaluation.

Ideal candidates have a background in reinforcement learning research, can iterate quickly, and translate rigorous research into product impact. The position follows a hybrid model with relocation assistance for new employees.

Qualifications

• Background in reinforcement learning research.
• Ability to iterate quickly and translate research into product impact.
• Comfort debugging in a large ML codebase.

Responsibilities

• Own and pursue a research agenda for improving long-horizon memory 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 the shape of technical solutions in the product.

Skills

Reinforcement Learning

ML Research

Debugging large ML codebase

Job description

OpenAI is seeking a Research Engineer / Research Scientist on the Personalization-Memory team in San Francisco, CA. The role involves advancing memory architecture, post-training methods, and long-horizon tasks for training and evaluation.

Ideal candidates have a background in reinforcement learning research, can iterate quickly, and translate rigorous research into product impact. The position follows a hybrid model with relocation assistance for new employees.