About the RoleAs a Research Engineer / Research Scientist on the Personalization-Memory team, you will research and develop improvements to memory usage and personalization in OpenAI's frontier models. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a truly personalized ChatGPT.
We're looking for individuals who have a background in frontier model post-training, are able to iterate quickly, and who are passionate about product-driven research.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:- Own and pursue a research agenda for improving memory use 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.
You might thrive in this role if you:- Are passionate about personalization and building personalized assistants.
- Have experience working with user signals and human data to turn feedback into reliable signals for training and evaluation.
- Have a deep understanding of frontier model post-training and machine learning applications.
- Value principled approaches and research craftsmanship.
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a fast-paced, dynamic, and technically complex environment.
