Memory & RL Research Engineer - Hybrid (Relocation Offered)

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

Benefits offered by this job

Relocation assistance

Job summary

OpenAI, Inc. in San Francisco, CA is seeking a Research Engineer / Research Scientist for the Personalization-Memory team. You will advance memory architectures and post-training methods to enable long-horizon reasoning and product impact.

Join a fast-moving research environment with collaboration across product and research teams; this role offers a hybrid work model (3 days in the office) and relocation assistance for new employees.

Qualifications

• Background in reinforcement learning research and memory-focused ML.
• Ability to iterate quickly and translate rigorous research into product impact.
• Experience debugging large ML codebases and collaborating with product teams.

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

Memory architectures

Long-horizon tasks

Code debugging

Job description

OpenAI, Inc. in San Francisco, CA is seeking a Research Engineer / Research Scientist for the Personalization-Memory team. You will advance memory architectures and post-training methods to enable long-horizon reasoning and product impact.

Join a fast-moving research environment with collaboration across product and research teams; this role offers a hybrid work model (3 days in the office) and relocation assistance for new employees.