阿里云阿里云智能-多模态AI搜索平台负责人/ Head of Multimodal AI Search-杭州
社招全职10年以上云智能集团地点：杭州状态：招聘
工作描述
任职要求 基础条件 ● 计算机科学、人工智能或相关专业本科及以上学历 ● 10年以上搜索、推荐系统或信息检索领域技术经验，其中3年以上中大型团队管理经验 ● 有从0到1主导复杂技术平台架构设计并成功落地交付的完整经历 核心技术能力 ● 搜索系统工程：主导过大规模搜索系统的架构设计与落地，深入理解主流搜索引擎（Elasticsearch、Lucene等）内核原理，有PB级数据检索与分布式系统实战经验 ● 多模态检索：在图文检索、视频搜索、跨模态理解等方向有实际的工程落地成果，熟悉CLIP、多模态大模型等技术体系 ● 大模型应用：有大语言模型在搜索或问答场景的落地经验，对RAG、语义召回、推理增强检索等前沿方向有深入理解和实践 ● 算法策略：具备扎实的信息检索与NLP理论基础，有主导核心搜索算法策略从设计到上线的完整经验 优先考虑 ● 有企业级AI搜索产品经验，或终端AI搜索（移动端/桌面端）的架构设计与产品落地经验 ● 有端云协同搜索、跨数据源联合检索或混合部署架构的实际落地经验 ● 有技术驱动商业化的成功案例—能将技术创新转化为可量化的用户价值与业务增长 ● 在SIGIR、KDD、ACL、CVPR等顶级学术会议发表过相关论文，或拥有搜索/检索方向技术专利 我们期待的你 ● …
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包括英文材料
学历+
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
信息检索+
https://nlp.stanford.edu/IR-book/information-retrieval-book.html
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
Lucene+
https://lucene.apache.org/core/10_3_1/demo/index.html
This document is intended as a "getting started" guide to using and running the Lucene demos.
https://web.cs.ucla.edu/classes/winter15/cs144/projects/lucene/index.html
Lucene is an extremely rich and powerful full-text search library written in Java.
https://www.baeldung.com/lucene
Apache Lucene is a full-text search engine which can be used from various programming languages.
https://www.youtube.com/watch?v=BvgGgkN3clI
In this presentation I go over Apache Lucene, being the cornerstone technology behind Elasticsearch.
内核+
https://www.youtube.com/watch?v=C43VxGZ_ugU
I rummage around the Linux kernel source and try to understand what makes computers do what they do.
https://www.youtube.com/watch?v=HNIg3TXfdX8&list=PLrGN1Qi7t67V-9uXzj4VSQCffntfvn42v
Learn how to develop your very own kernel from scratch in this programming series!
https://www.youtube.com/watch?v=JDfo2Lc7iLU
Denshi goes over a simple explanation of what computer kernels are and how they work, alonside what makes the Linux kernel any special.
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
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