微信小微-大模型算法研究员-Harness合版与记忆方向
Core
Design and develop the Agent Harness framework for WeChat Assistant XiaoWei, focusing on agent scheduling, task orchestration, and memory systems.
Role type
Senior IC large model algorithm researcher (Agent Harness & Memory)
Builds
Production-ready Agent Harness framework and AI Agent memory systems for WeChat Assistant
Domain
Consumer social media / Large Language Models / AI Agents
Deliverable
production ML models
Required skills
Large model application development, Agent scheduling and task orchestration, RAG and memory retrieval, Post-training and model merging, Long context processing, System design
Preferred skills
vibe coding, Cross-session continuous memory, Edge-cloud collaborative architecture
Technologies
PyTorch, transformers
Responsibilities
Design and develop the Agent Harness framework including agent scheduling and task orchestration; Conduct post-training merging work such as data merging and OPD merging; Build and optimize the AI Agent memory system covering writing, organization, retrieval, and lifecycle management; Collaborate with product and engineering teams to deploy Agent Harness capabilities.