Research Engineer / Research Scientist - Personal AGI, Memory
$295,000–$555,000 year
HybridSan Francisco, California, United States
Job Summary
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 the research stack. Collaborate closely with research and product teams to influence the shape of technical solutions. This role requires a background in reinforcement learning research and the ability to convert scientific rigor into product impact. Based in San Francisco, CA with a hybrid schedule of three days in the office per week, and includes relocation assistance for new hires.
Required Qualifications
- background in reinforcement learning research
- ability to iterate quickly
- ability to convert scientific rigor and long-term research into realized product impact
- location in San Francisco, CA
- hybrid work model of 3 days in the office per week
- relocation assistance
Desired Qualifications
- Love being on the cutting edge of RL and frontier model research
- Value principled approaches and research craftsmanship
- Passion about long-horizon tasks, memory, and turning your research into product impact
- Comfortable diving into a large ML codebase to debug
- Thrive in a fast-paced, dynamic, and technically complex environment
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