About the RoleAs a Research Engineer / Scientist, you will research and develop improvements to our models' personalization and agentic capabilities. 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 highly personalized, collaborative, and proactive assistant.
We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is 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 to improve the proactivity and ability of our models to further user goals.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across our research stack.
- Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product
You might thrive in this role if you:- Have a deep understanding of machine learning and machine learning applications.
- Have a working knowledge of LLM post-training and evaluation approaches
- Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a dynamic and technically complex environment.
