滴滴国际事业群IBG-（1）算法实习生
实习兼职地点：北京状态：招聘
工作描述
岗位职责（具体工作内容） 1. 负责滴滴国际化外卖广告系统的核心机制策略、模型算法的开发工作，服务不同国家和地区的用户，助力广告业务快速增长； 2. 迭代广告机器学习/深度模型，优化ctr/cvr/ltv建模、留存预估、强化学习、因果推断等算法模型，提升商业化变现效率； 3. 分析用户行为和广…
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包括英文材料
广告系统+
https://github.com/InteractiveAdvertisingBureau/openrtb2.x
Real-time Bidding (RTB) is a way transacting media that allows an individual ad impression to be put up for bid in real-time.
https://people.eecs.berkeley.edu/~jfc/DataMining/SP12/lecs/lec12.pdf
https://wnzhang.net/teaching/ee448/slides/11-computational-ads.pdf
If a bidder bids higher than his true value, then...
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.
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.
因果推断+
https://web.stanford.edu/~swager/causal_inf_book.pdf
How best to understand and characterize causality is an age-old question in philosophy.
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