小红书【2025校招】机器学习算法工程师-增长算法
校招全职策略算法地点:北京 | 上海状态:招聘
任职要求
1、本科及以上学历,计算机等相关专业优先; 2、了解Hadoop/MapReduce/Spark/Hive等常用大数据处理工具优先; 3、熟练掌握至少一种编程语言:Java/C++/Scala/Python,熟悉Linux系统及常用Shell命令; 4、有过成功的推荐算法、用户增长、广告投放相关项目者经历优先。
工作职责
1、负责用户增长各环节的算法策略研发,通过算法策略优化提升个性化触达、外投广告、个性化内容分发、用户画像等效果; 2、负责个性化推荐业务召回、排序等算法研发,持续优化用户拉新和拉活各个环节的算法效率; 3、负责广告投放算法工作,通过个性化预估模型和运筹优化等算法,实现对用户的精准触达和出价,提升广告投放效率; 4、负责用户消息触达等相关算法工作,通过推送等触达提升用户规模。
包括英文材料
学历+
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持,它允许使用简单的编程模型跨计算机群集分布式处理大型数据集,并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
MapReduce+
https://www.youtube.com/watch?v=bcjSe0xCHbE
https://www.youtube.com/watch?v=cHGaQz0E7AU
In this video I explain the basics of Map Reduce model, an important concept for any software engineer to be aware of.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
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.
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
Scala+
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.
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
Bash+
[英文] The Bash Guide
https://guide.bash.academy/
A quality-driven guide through the shell's many features.
https://www.youtube.com/watch?v=tK9Oc6AEnR4
Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.
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/
相关职位
校招策略算法
1、负责推荐技术的落地,实现个性化推荐,分发策略,用户理解,内容理解等方向的技术突破; 2、沉淀社区推荐技术,并探索业务的边界,能够从复杂的业务环境中抽象出清晰具体的技术问题,并将机器学习等推荐技术有效应用于小红书App社区图文及视频推荐,提升海量用户体验,Inspire Life; 3、与各部门(包括并不限于产品,基础技术等)的同事一起深入交流合作,共同迭代和优化社区信息流推荐产品。
校招策略算法
1、交易搜索:Query理解,多模态内容理解,基础相关性、召回、排序等核心业务。 2、交易推荐:通过深度学习、迁移学习、跨域表征、多任务学习等技术提升分发匹配的效率,让每个用户可以快速准确的发现好货; 3、B端算法:负责大规模多模态匹配、检索、知识生产系统,建设电商和直播相关算法能力,提升交易转化和经营效率。 4、直播算法:负责小红书直播算法的优化,服务亿级用户的直播推荐,提升用户直播体验、电商转化等;