字节跳动算法实习生-抖音
实习兼职A68011地点:成都状态:招聘
任职要求
1、2026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、具备优秀的算法设计能力和过硬的编码能力;在以下一个或多个算法领域上有深度的理解和实践经验:NLP、RAG、机器学习; 3、熟悉Tensorflow、PyTorch等至少一项机器学习框架;熟悉Sp…
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工作职责
ByteIntern:面向2026届毕业生(2025年9月-2026年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:抖音研发团队,主要负责抖音短视频的业务和技术研发、公司全部产品的内容安全业务。截至2020年8月,抖音日活用户超6亿,并继续保持高速增长。 未来一年,抖音将更多关注对创作者和社会的价值。团队汇聚各种背景的顶尖人才,在更大体量更为复杂的业务场景中不断提升,在项目0-1的过程中影响上亿用户。期待你的加入! 1、负责抖音/直播等多个业务线的营销内容生成及营销策略算法设计与优化; 2、通过分析海量数据,挖掘各种潜在关联,以技术创新保障用户体验。
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/
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.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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.
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.
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