快手联盟广告算法工程师-【海外商业化】
社招全职D11917地点:北京状态:招聘
任职要求
1、扎实的编码能力,熟练掌握C/C++/Python,熟悉Hive、Spark等大数据处理工具,有良好的工程实现能力; 2、掌握主流机器学习与推荐/广告算法,对定价、点击转化预估模型等方向有深入理解; 3、具备良好的问题分析能力和系统性思维,能从复杂的数据中提炼有效信号并形成闭环优化; 4、有联盟广告、RTB广告、DSP/SSP系统、推荐系统、广告竞价策略、流量分发等经验者优先。 加分项: 1、有ACM、Kaggle等国内外顶级赛事冠军者优先; 2、有KDD、WWW、SIGIR等广告&推荐顶会发表文章者优先; 3、有生成式推荐大模型的落地经验者优先。
工作职责
1、参与快手海外联盟广告系统的算法研发与策略优化,涵盖流量定价、广告匹配、收益分成等关键链路,服务全球开发者和广告主,驱动联盟广告业务增长; 2、设计并优化联盟广告流量的投放和分发机制,结合因果推断、博弈论、运筹优化等理论,提升平台收益与开发者体验之间的平衡; 3、研发适用于联盟生态的流量匹配模型,提升CTR/CVR/竞胜率等关键指标的准确性,兼顾kwai、非kwai泛化迁移能力; 4、探索跨平台、跨形态广告生态中的新型匹配与变现策略,推进联盟广告系统的稳定性、鲁棒性与智能化算力; 5、探索LLM在联盟生态的价值,通过LLM的世界知识和推理能力缓解联盟的数据缺乏问题。
包括英文材料
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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
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.
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
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.
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.
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/
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.
Kaggle+
[英文] Kaggle Learn
https://www.kaggle.com/learn
Gain the skills you need to do independent data science projects.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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