快手电商资深推荐算法工程师
社招全职5-10年D5467地点:北京状态:招聘
任职要求
1、硕士及以上学历,计算机、数学或统计学相关专业; 2、熟悉Linux、C++、Java或Python,优秀的编码能力,扎实的数据结构和算法功底; 3、具有推荐系统、机器学习、数据挖掘或者自然语言理解等相关领域知识; 4、善于阅读文献,快速学习 ,具备优秀的分析和解决问题的能力,良好的沟通协作能力。 加分项: 1、有推荐系统、机器学习、信息检索、自然语言理解、计算广告学及算法博弈论相关领域研究或实习经验; 2、具备大规模电商推荐算法经验; 3、在SIGKDD、ICML、NIPS、WSDM、WWW、ACL、RECSYS等相关国际顶级会议上有文献发表; 4、有ICPC、Topcoder Algorithm或类似算法竞赛经历者优先。
工作职责
1、参与亿级用户规模的电商推荐优化,提升包括商品推荐(首页猜你喜欢)、内容推荐(直播、短视频)在内的泛货架电商的GMV、订单量、用户留存等核心指标; 2、通过深度学习领域的研发工作,包括但不限于生成式推荐、LLM4Rec、超大规模序列建模、多任务学习、长期价值建模等算法和系统提升预估效果; 3、持续关注前沿技术发展方向,参与推荐系统架构的长期技术演进与技术攻坚; 4、通过推荐算法机制优化电商流量结构和GMV结构,促进电商生态的健康发展。
包括英文材料
学历+
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
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.
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
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.
ICML+
https://icml.cc/
WSDM+
https://www.wsdm-conference.org/
RecSys+
[英文] Recommender Systems
https://recsys.acm.org/
This site contains information about the ACM Recommender Systems community, the annual ACM RecSys conferences, and more.
NeurIPS+
https://neurips.cc/
相关职位
社招技术类
1、负责B站1亿日活规模的电商个性化推荐算法:包括商品推荐、直播推荐、短视频推荐等;优化场景包含单列、双列、商城等多个位置。 2、通过深度学习、迁移学习、多任务学习、强化学习等技术提升信息匹配的效率,改善用户体验; 3、分析海量用户行为数据,进行用户长短期兴趣建模,以及潜在兴趣预测,提升推荐的精准性; 4、挖掘优质商品和up主,构建良性的循环机制,优化内容电商生态,探索高效的商业模式,提升内容生态健康程度等 5、通过模型、算法和工程创新,实现一流的电商推荐算法和系统。
更新于 2024-05-17

社招技术
职位描述: 负责电商个性化推荐算法的优化与创新,持续提升推荐场景流量效率和用户体验,职责包括并不限于: 1.深入理解推荐业务需求,设计并落地大规模的召回/排序/重排算法; 2.推荐场景中流量机制分配、冷启动、用户增长策略的设计和应用; 3.分析用户行为数据,进行用户长短兴趣预测,提升推荐精准性和新颖性;
更新于 2024-09-27