
智能互联淘宝闪购-高级用增AI算法专家-上海/杭州
社招全职3年以上技术类-算法地点:杭州 | 上海状态:招聘
任职要求
1. 计算机、信号处理、控制论、博弈论、运筹优化,统计等相关专业;有扎实的数理分析基础并有交叉领域研究经验的优先; 2. 熟悉常用机器学习算法,如FM、DeepFM、xGboost、DIN、DNN、GNN等,特别是对各种人工智能应用问题有大量研究实践经验者优先,有实际成果并发表在国际ding级会议、期刊者优先,有大型搜…
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工作职责
1. 负责淘宝闪购用户增长业务场景中的推荐算法的研发,包括图文多媒体推荐、消息PUSH推送、店铺菜品信息流、外投广告投放等,从用户体验、流量效果和商业目标等方向设计和迭代算法,促进商业发展 2. 负责淘宝闪购用户增长算法设计与调优,创新全生命周期的用户增长以及增值算法,促进拉新效率和留存效果,增加用户粘性,防止用户流失 3. 负责本地商业机制设计和改进,提升商家淘宝闪购运营体验和效率
包括英文材料
运筹优化+
https://medium.com/gousto-engineering-techbrunch/an-introduction-to-operations-research-5a9e898b6c60
Operations research (OR) is a scientific approach to determining the optimal solution to a defined business problem.
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/
DeepFM+
https://d2l.ai/chapter_recommender-systems/deepfm.html
DeepFM consists of an FM component and a deep component which are integrated in a parallel structure.
https://deeprs-tutorial.github.io/WWW_DNN.pdf
XGBoost+
[英文] What is XGBoost?
https://www.ibm.com/think/topics/xgboost
XGBoost (eXtreme Gradient Boosting) is a distributed, open-source machine learning library that uses gradient boosted decision trees, a supervised learning boosting algorithm that makes use of gradient descent.
https://www.youtube.com/watch?v=BJXt-WdeJJo
takes a deep dive into one of the most powerful machine learning algorithm, eXtreme Gradient Boosting, using a Jupyter notebook with Python.
深度神经网络+
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world.
GNN+
https://distill.pub/2021/gnn-intro/
Neural networks have been adapted to leverage the structure and properties of graphs.
https://gnn.seas.upenn.edu/
Graph Neural Networks (GNNs) are information processing architectures for signals supported on graphs.
https://www.ibm.com/think/topics/graph-neural-network
Graph neural networks (GNNs) are a deep neural network architecture that is popular both in practical applications and cutting-edge machine learning research.
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