内容理解算法工程师（J106338）
Core
Build a cross-lingual, multi-modal content understanding technology system for search and AI search using large models and deep learning to improve content readability, credibility, and timeliness.
Role type
Senior IC machine-learning engineer (content understanding & search)
Builds
Large-scale content understanding algorithms, high-value content supply systems, and model optimization for search engines
Domain
Internet search, AI search, NLP, large language models
Deliverable
production ML models
Required skills
Large language models, deep learning, NLP, information retrieval, RAG, distributed computing, massive data processing, model fine-tuning, knowledge distillation, agent technology
Preferred skills
Publications in ACL, EMNLP, SIGIR, KDD, NeurIPS, ICLR
Technologies
Large language models, agents, NLP frameworks, distributed computing systems
Responsibilities
Develop web semantic understanding and heterogeneous content parsing algorithms; Build content value assessment and intelligent filtering systems; Optimize large model effects, inference costs, and latency; Construct data analysis and evaluation systems for search performance
