微信小程序-搜索算法工程师-Agent方向
Core
Develop end-to-end search algorithms for Agent scenarios, integrating large models to optimize query understanding, retrieval, and ranking.
Role type
Senior IC search algorithm engineer (Agent & LLM integration)
Builds
Next-generation search systems driven by Agent intent
Domain
Mobile applications (Mini Programs) + Search & Information Retrieval
Deliverable
production ML models
Required skills
Search system architecture, Retrieval and Ranking optimization, Transformer architectures, Large Language Model fine-tuning (SFT) and distillation, Cross-Encoder and LLM-based Rerank, Inverted and Vector index engineering, Feature pipeline construction
Preferred skills
A/B testing design, Search evaluation metrics, Data flywheel construction
Technologies
Transformer, Cross-Encoder, LLM, SFT, Distillation, Inverted Index, Vector Index
Responsibilities
Develop full-link search algorithms for Agent scenarios covering query understanding, multi-path retrieval, coarse and fine ranking, and re-ranking; Optimize large model integration including query rewriting, domain embedding post-training, and reranking model training; Collaborate with engineering teams to design evaluation systems and optimize search performance via A/B experiments.