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Agent Personalization and Memory Evolution

Lenovo · Posted Nov 10, 2026

Beijing, China
8+ years

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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

Skills

Python PyTorch Machine Learning Deep Learning Large Language Models

Research Scientist, Robot Learning - Continual Adaptation

Research Scientist, Robot Learning - Continual Adaptation

Compensation

Responsibilities

Requirements

Skills

Benefits

Agent Personalization and Memory Evolution

Responsibilities

Requirements

Skills