阿里巴巴淘天算法技术-搜索机制算法工程师-杭州
社招全职1年以上地点:杭州状态:招聘
任职要求
1. 计算机、自动化、数学或统计学等相关专业;具备扎实的数据结构,算法和编码能力,精通至少一种编程语言,如C++、JAVA、Python等; 2. 机器学习基础扎实熟悉,持续跟进学术界及业界召回,排序,NLP等领域的算法模型; 3. 具备优秀的学习能力和团队合作精神,有大规模机器学习/个性化推荐/广告/信息检索/自然语言处理相关领域工作经验; 4. 有强烈的技术热情,有皮实乐观、不畏挫折的心态;具备优秀的分析和解决问题的能力; 5. 具备扎实的动手能力,有工业界相关方向的实践经验者,或参加过ACM或数据挖掘/机器学习类竞赛并取得优异名次者优先 6. 在计算机学术会议(SIGIR、SIGKDD、ICML、NIPS、WWW、AAA、CIKM、ACL、RECSYS、CVPR、ICCV、ECCV、ICLR等)或期刊上发表过论文者优先
工作职责
负责淘宝搜索供给与机制算法,通过设计合理流量机制策略,建立商家、平台和消费者三赢的商业体系。方向包括但不限于: 1. 运营动作预估:通过因果推断、反事实预估等能力,优化诊断反馈模型的准确性,与流量机制结合,达成用户价值和商家经营确定性的双赢。技术包括因果推断、uplift预估、组合优化、MLLM等; 2. 供给诊断:通过设计合适的流量机制、静态商品理解等方式,客观评估商品效率,构建从价格、图文、服务、销评等商品理解体系; 3. 商品运营agent:从平台视角建立商品全生命周期的运营计划建议,简化商家运营成本,达成双赢,技术包括定价、大模型Agents等。
包括英文材料
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/
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.
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.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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.
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
ICML+
https://icml.cc/
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.
CVPR+
https://cvpr.thecvf.com/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
ICLR+
https://iclr.cc/
NeurIPS+
https://neurips.cc/
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