字节跳动大模型算法实习生(多模态视频理解方向)-抖音
实习兼职A168144地点:厦门状态:招聘
任职要求
1、2026届本科及以上学历在读,计算机、软件工程相关专业优先; 2、扎实的计算机基础知识,熟悉Python/Golang等编程语言; 3、熟悉LLM和AI技术生态,有Prompt Engineering、SFT、AI Agent、多模态、RAG、Memory等技术开发经验者优先;有大模型在数据领域的工程落地经验者优先; 4、能够持续优化工程架构、研发工具和工作流,追求极致效率、性能和稳定性; 5、有较强的学习能力,有较强的求知欲、责任心、好奇心和进取心,对于不断探索新的AI技术和应用场景有较强意愿和主观能动性。
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、负责抖音运营与生态团队大模型相关的业务开发,包含创作者服务(流量、培优、创作灵感等)以及对内的抖音规模化运营能力建设,快速搭建应用并在业务中落地,持续优化产品体验、稳定性; 2、与产品经理、数据分析师、算法、数据工程师等角色紧密合作,理解业务需求,制定技术方案,并推动项目的落地和优化; 3、持续探索在各种场景下,利用AI能力增强产品体验,提升工程效率。
包括英文材料
学历+
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.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
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
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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