Research Engineer / Research Scientist- Personal AGI (Post Training)

Research Engineer / Research Scientist – Personal AGI (Post Training) San Francisco, CA – hybrid (3 days in the office per week). About the Team The Personal AGI team is responsible for training and improving pre‑trained models that will be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product groups across the company, conducting research as a final step to prepare for real‑world deployment to millions of users, ensuring our models are safe, efficient, and reliable. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models, working in areas that combine reinforcement learning with product‑driven research. An ideal candidate is passionate about product‑driven research and has strong ML engineering skills and research experience, especially with novel and highly capable models. Own and pursue a research agenda to improve model capability and performance. Collaborate closely with other research and product teams, allowing customers to optimize their own models. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. Qualifications Deep understanding of machine learning and its applications. Working knowledge of relevant models and experience building evaluations for model capability improvement. Comfortable diving into a large ML codebase to debug. Thrives in a dynamic and technically complex environment. Relocation Assistance OpenAI offers relocation assistance to new employees relocating to the San Francisco area. Compensation $295,000 – $555,000 + equity. Equal Opportunity Employer OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic. #J-18808-Ljbffr OpenAI