阿里巴巴阿里国际站/Alibaba.com-高级算法工程师-广告算法
社招全职3年以上技术类-算法地点：杭州 | 北京状态：招聘
任职要求
1.计算机、数学或统计学相关专业硕士及以上学历； 2.熟练掌握Java/C++/Python中至少一门语言，有扎实的数据结构和算法基础； 3.熟悉常用的机器学习算法； 4.具备优秀的分析和解决问题的能力，良好的沟通协作能力； 5.有数据挖掘、机器学习、强化学习、信息检索、自然语言理解、推荐系统、计算广告学及算法博弈论相关领域研究和实践经验，在以上领域的国际会议(SIGIR、SIGKDD、ICML、NIPS、WSDM、WWW、AAAI、CIKM、ACL、RECSYS)或者期刊上发表过论文者更佳； 6.参加过ACM或数据挖掘&机器学习类竞赛(天池大奖赛、Kaggle)并取得好名次者更佳； 7.参与过机器学习开源项目并有突出贡献者更佳；
工作职责
1. 负责阿里国际站效果广告场景的算法设计和优化，包括并不限于： 2. 负责阿里国际站搜索广告Query理解、搜推广告深度召回、相关性、排序建模、机制出价、商家赋能等应用和创新 3. 负责超大规模深度学习在用户/商品表征学习、向量化召回、点击/成交转化模型预估等的应用和创新 4. 负责基于用户与商品知识图谱的稀疏特征与少样本推荐算法模型的应用和创新 5. 负责基于离线优化问题求解与在线实时调控策略的机制设计与出价 6. 负责研究&推动用户冷启动&商品冷启动在搜索&推荐的应用 7. 负责大语言模型等能力在搜索广告业务中的应用 8. 结合以上方向的探索和研究，撰写发表论文，和业界、学术界保持良好的交流
包括英文材料
学历+
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
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.
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
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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.
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.
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.
Kaggle+
[英文] Kaggle Learn
https://www.kaggle.com/learn
Gain the skills you need to do independent data science projects.
NeurIPS+
https://neurips.cc/
SIGIR+
https://sigir.org/
SIGKDD+
https://www.kdd.org/
ACL+
https://www.aclweb.org/portal/
Computational linguistics is the scientific study of language from a computational perspective.
AAAI+
https://aaai.org/
The Association for the Advancement of Artificial Intelligence (AAAI) is the premier scientific society dedicated to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
CIKM+
http://www.cikmconference.org/
The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases.
相关职位
社招技术类-算法
AliExpress广告算法团队负责搜索推荐广告的召回、排序优化 1. 设计和优化推荐广告业务下排序模型和后链路重排等，提高用户体验和业务效果 2. 利用最新的LTR、多任务学习、多模态技术、超长序列建模和图神经网络等技术在相关领域的进行应用和创新 3. 探索大模型在电商推荐领域排序方向的应用 4. 深入理解用户行为和业务特点，分析业务增长点，推动业务进展并落地 5. 持续跟踪业界最新算法趋势，推动整体系统的创新和升级
更新于 2025-06-30
社招1年以上技术类-算法
我们寻找熟练掌握机器学习、深度学习、强化学习、Graph Embedding，图像&NLP技术，运筹学，经济学和博弈论等相关知识，有扎实的搜索推荐广告等相关算法技术背景，对技术推动业务发展抱有极大的热情，勇于挑战各种实际应用难题，具有聪明、乐观、皮实、自省、追求卓越的候选人，来阿里国际-智能技术-Lazada 广告技术团队和我们一起乘风破浪吧。 1.基于Lazada的海量用户和商家数据，探索使用深度学习，强化学习，Graph Embedding，迁移学习，知识图谱等前沿技术来解决广告业务所面临的多国家多语言场景，大规模异构数据的挑战，将前沿技术在广告业务上落地，用技术推到业务高速发展。 2.负责广告系统的核心召回、排序、竞价机制算法持续迭代优化，提升广告业务的核心指标，帮助Lazada广告业务高速增长。
更新于 2025-09-11
社招3年以上信息技术类
1、支持广告外投的算法工作，能独立负责人货匹配、选品、词投放、出价等模块的技术规划和模型开发； 2、承接渠道营销的算法提效，能持续优化push等渠道的内容推荐、择时、频次控制等能力； 3、主动深入业务，基于业务理解制定科学合理的算法方案，并持续探索广告/营销的价值增长点； 4、跟踪同行广告/营销领域的技术趋势，了解竞品产品和技术动态，能催化团队技术进步。
更新于 2025-05-19
社招技术类-算法
我们是AliExpress广告算法团队，该岗位负责AE搜索广告的NLP&相关性、用户体验优化，包括并不限于： 1. 设计和优化搜索广告相关性下的Query理解、类目预测、深度语义相关性、商品理解、实体匹配等方向 2. 对比学习、表征学习、蒸馏学习在语义理解、类目预测、相关性判别等领域的应用和创新 3. 设计合理的全链路管控与供给策略，保证消费者体验、广告主投放效果、平台营收的良好平衡 4. LLM、MLLM在上述方向的全面应用与优化 5. 建立合理的相关性评测方法，进行数据挖掘，迭代数据标注任务，积累电商领域知识数据资产
更新于 2025-03-31