微信搜索-电商agent算法专家
Core
Design and optimize an e-commerce search Agent within WeChat to handle user needs for finding products, making decisions, and completing transactions.
Role type
Senior IC machine-learning engineer (e-commerce search agent)
Builds
Agentic Search architecture integrating LLMs, RAG, search ranking, and tool calling for complex product retrieval and recommendation.
Domain
E-commerce, Large Language Models, Search
Deliverable
production ML models
Required skills
Large language models, Agent systems, RAG, search ranking, recommendation systems, SFT, preference learning, reinforcement learning, knowledge distillation, reward design, Python, PyTorch, Transformers
Preferred skills
Data analysis, experimental design, model iteration, business conversion optimization
Responsibilities
Build the full链路 from intent understanding to answer generation for e-commerce search; Optimize Agentic Search architecture for complex demand understanding and personalized recommendations; Improve model post-training capabilities including SFT, RL, and reward design to boost task completion and conversion.
