蚂蚁金服搜索推荐广告算法
校招全职蚂蚁集团2027届应届生招聘地点:北京 | 上海 | 杭州状态:招聘
工作描述
任职要求 1. 熟悉搜索、推荐、广告、排序、检索增强等基础方法,理解召回、粗排、精排、重排等典型链路; 2. 具备较强的效果分析、实验设计和问题定位能力,有搜索、推荐或广告算法相关经验者优先; 3. 对大模型(LLM)原理及应用有实践热情,关注LLM/AIGC在搜索、推荐、广告领域的应用,有NLP/多模态/强化学习经验者优先; 4. 拥有Kaggle/ACM竞赛奖项、国际顶级会议论文、知名GitHub开源项目等公开成果者优先。 工作职责 面向核心业务场…
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包括英文材料
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/
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
AIGC+
https://ui.adsabs.harvard.edu/abs/2023arXiv230406632W/abstract
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged.
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.
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.
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