字节跳动推荐算法实习生-TikTok Shop
实习兼职A35380B地点：北京状态：招聘
工作描述
任职要求 1、2027届本科及以上学历在读，计算机、软件工程等相关专业优先； 2、扎实的算法和数据结构基础，优秀的编码能力； 3、机器学习基础扎实，熟悉CF、MF、FM、Word2vec、LR、GBDT、DNN、Wide&Deep等常用的算法模型； 4、熟悉以下任何一个开源工具：XGBoost、TensorFlow、PyTorch； 5、熟悉C++和Python语言，熟悉Linux开发环境； 6、具备优秀的学习能力和良好的团队合作精神。 加分项 1、有个性化推荐、广告、信息检索、自然语言处理、机器学习等相关领域研究或者项目实践经验； 2、在KDD、NeurIPS…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
学历+
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/
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
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.
GBDT+
https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt
Like bagging and boosting, gradient boosting is a methodology applied on top of another machine learning algorithm.
https://scikit-learn.org/stable/modules/ensemble.html
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.
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.
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.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
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.
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
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.
还有更多 •••
相关职位
实习A181596A
1、本科及以上学历在读，计算机、软件工程等相关专业优先； 2、具备优秀的编码能力，扎实的数据结构和算法功底； 3、优秀的分析问题和解决问题的能力，对解决具有挑战性问题充满激情； 4、对技术有热情，有良
更新于 2025-12-01北京
实习A227192A
1、2027届硕士及以上学位在读，计算机、软件工程等相关专业优先； 2、具备优秀的编码能力，扎实的数据结构和算法功底； 3、优秀的分析问题和解决问题的能力，对解决具有挑战性问题充满激情； 4、对技术有
更新于 2026-01-05北京
实习程序&技术类
1.计算机、人工智能、数学、统计学或其他相关专业，具备良好的编程、机器学习和深度学习基础； 2.熟悉 Python，了解 PyTorch、TensorFlow 等至少一种深度学习框架，能够独立完成基础
上海
实习技术类
基本要求： 2028届毕业生（2025年9月入学）。 专业方向：计算机科学、软件工程、通信工程、数学、统计学等相关专业。 实习时间：可保证连续实习六个月及以上，且每周全职工作五天。 能力要求：
更新于 2026-08-28上海