基础策略组_推广搜NLP策略算法工程（J100124）
Core
Develop core search, recommendation, and ad placement strategies for library and cloud storage products to serve hundreds of millions of users globally.
Role type
Senior NLP strategy algorithm engineer (search & recommendation)
Builds
Search, recommendation, and ad placement systems for library and cloud storage products
Domain
Internet services, search, recommendation systems, NLP
Deliverable
production ML models
Required skills
C/C++/Python programming, distributed computing (Hadoop), data structures and algorithms, machine learning, deep learning, reinforcement learning, natural language processing, recommendation systems, information retrieval, ad algorithms, semantic understanding, large-scale deep learning, evolutionary learning, multimodal content production, semantic search, text matching, intent recognition, vector databases, Prompt Engineering, large model Agent architecture, multimodal generation
Preferred skills
Vector database usage, multimodal generation (text+image/voice), large model Agent architecture design
Responsibilities
Research and evaluate leading industry promotion search algorithms, model product objectives using semantic understanding and large-scale deep learning, and handle ad targeting and multimodal material production.
Seniority
Senior, hands-on IC
