About the RoleAs a Research Engineer / Research Scientist on the Personalization-Memory team, your work will span memory architecture, post-training, and developing long-horizon tasks for training and evaluations.
We're looking for individuals who have a background in reinforcement learning research, are able to iterate quickly, and who can convert scientific rigor and long-term research into realized product impact.
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 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.
You might thrive in this role if you:- Love being on the cutting edge of RL and frontier model research.
- Value principled approaches and research craftsmanship.
- Are passionate about long-horizon tasks, memory, and turning your research into product impact.
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a fast-paced, dynamic, and technically complex environment.
