- Beijing, China
- 8+ years
Lead research on long‑term memory and hyper‑personalization for intelligent agents, developing models, methods, and evaluation frameworks to advance AI capabilities.
Responsibilities
- Define research directions and problem statements for long‑term memory and personalization.
- Design persistent and hierarchical memory systems and reusable memory components.
- Propose and validate novel methods for contextual personalization, memory selection, and experience accumulation.
- Develop large‑model training and memory‑co‑optimization pipelines for agent tasks.
- Create evaluation frameworks for long‑term interaction, computer use, and multi‑agent tasks.
Requirements
- Master’s in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or related field; PhD preferred
- Nice to have: SFT
- Nice to have: Preference Optimization
- Nice to have: Knowledge Distillation
- Nice to have: Edge AI