阿里巴巴研究型实习生-智能算法产品事业部-搜索算法工程师
实习兼职阿里巴巴研究型实习生地点:北京 | 杭州状态:招聘
工作描述
任职要求 1. 计算机、人工智能、统计学、数学或相关专业硕士、博士在读,具备良好的机器学习与统计学习基础。 2. 熟悉信息检索或搜索推荐的基本技术体系,理解以下部分内容: 2.1 倒排索引、召回、排序和 Learning to Rank; 2.2 BM25、Embedding、Dense Retrieval、Cross-Encoder; 2.3 搜索相关性建模及 Precision、Recall、NDCG、MRR 等评测指标; 2.4 Transformer、预训练语言模型及常见深度学习方法。 3. 熟悉 Python,能够使用 PyTorch 等框架独立完成数据处理、模型训练和实验分析;具备良好的工程实现与问题排查能力。 4. 对以下方向至少一项有较深入的研究或项目经验,并愿意开展交叉研究: 4.1 因果推断:因果图、倾向得分、IPW、双重稳健估计、因果森林、Uplift Modeling、异质性处理效应或反事实学习; 4.2 大模型:Pr…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
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.
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.
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
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.
还有更多 •••
相关职位
实习阿里巴巴研究型实
1. 自然语言处理、机器学习、数据挖掘、人工智能等相关专业的硕士生/博士生; 2. 熟悉多模态表征学习及搜广推召回/排序应用建模,有多模态预训练/SFT/应用实践经验者优先; 3. 熟练掌握Tenso
更新于 2026-03-20杭州
实习阿里巴巴研究型实
【必备项】 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CV/多模态算法、常用的机器学习和深度学习
更新于 2026-03-20北京|杭州
实习阿里巴巴研究型实
1.自然语言处理、机器学习、数据挖掘、人工智能等相关专业的硕士生/博士生; 2.熟练掌握Tensorflow、Pytorch等深度学习框架,扎实的编程基础,具备独立的算法实现能力; 3.熟悉强化学习,
更新于 2026-03-20北京|杭州