Research Engineer — Product-Driven ML & Deployment

OpenAI; San Francisco (CA); Hybrid; USD 295,000 - 555,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI is hiring a Research Engineer / Scientist, Post-Training in San Francisco, CA. You will research and develop improvements to our models, focusing on reinforcement learning and product-driven research, with a hybrid work model requiring 3 days in the office per week and relocation assistance.

The role emphasizes strong ML engineering skills, collaboration with research and product teams, and building evaluations to measure improvements to model capability and performance.

Qualifications

• Strong ML engineering skills and research experience with novel models.
• Passionate about product-driven research.
• Working knowledge of relevant models and building evaluations for model capability improvement.
• Comfortable debugging a large ML codebase.

Responsibilities

• Own and pursue a research agenda to improve model capability and performance.
• Collaborate with research and product teams to help customers optimize models.
• Build robust evaluations to track modeling improvements.
• Design, implement, test, and debug code across the research stack.

Skills

ML engineering

Research experience

Reinforcement learning

Evaluation design

Large-scale debugging

Product-driven research

Tools

ML frameworks

Job description

OpenAI is hiring a Research Engineer / Scientist, Post-Training in San Francisco, CA. You will research and develop improvements to our models, focusing on reinforcement learning and product-driven research, with a hybrid work model requiring 3 days in the office per week and relocation assistance.

The role emphasizes strong ML engineering skills, collaboration with research and product teams, and building evaluations to measure improvements to model capability and performance.