字节跳动游戏AI研发工程师（AI工程方向）
社招全职A234651地点：杭州状态：招聘
任职要求
1、优秀的编码能力和框架设计能力，逻辑清晰理解能力强，沟通交流顺畅，责任心强；ACM/ICPC/Codeforces等获奖者优先； 2、熟练掌握Python，熟悉Js/C++/Golang/C#/Lua等加分，熟练使用docker、linux系统、Kubernetes； 3、对于LLM技术热爱，有过Prompt Engine经验；日常使用LLM提效经验；理解LLM原理优点和不足； 4、熟悉并参与过云计算、分布式系统、微服务架构等； 5、熟悉主流数据库，具备大数据基础知识； 6、能够快速学习各类框架，比如前端（react、vue）、aPaaS平台、faas等，解决AI工程需求； 7、对如下一个或多个领域有经验，或者无经验但有浓厚的兴趣（须额外付出自己的时间进行深入研究和探索）： （1）低代码（节点图）平台； （2）机器学习、强化学习训练推理平台； （3）基础模型的分布式训练（Scaling Laws）、高效微调（Lora/P-Tuning/RLHF）、推理引擎和优化（并行策略、量化压缩、算子优化等）、Transformer模型结构(Sparse/MoE/LongContext等)。
工作职责
1、负责各类AIGC技术在游戏项目中工程落地，需要你对于各类AIGC技术保持热爱和好奇，同时拥有资深的软件工程经验。包括但不限于：负责组内算法的工程落地，确保服务快速搭建、线上稳定、易维护； 2、参与低代码ai工作流平台建设(类Langflow)，实现ai算法的便捷调试和快速落地； 3、大模型应用：数据集构造（对话、RLHF等）、高效微调（Lora/P-Tuning/RLHF）、推理部署、应用（Prompt工程、检索增强、LangChain、Langflow等）、新模型探索(LLama/Falcon/miniGPT4)； 4、深入transformer、stable diffsion等算法+pytorch、tf原理，研究并行训练、算法工程加速。
包括英文材料
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.
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
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。
C#+
https://learn.microsoft.com/en-us/dotnet/csharp/
The C# guide contains articles, tutorials, and code samples to help you get started with C# and the .NET platform.
Lua+
https://www.lua.org/pil/contents.html
This is the online version of the first edition of the book Programming in Lua, a detailed and authoritative introduction to all aspects of Lua programming written by Lua's chief architect.
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
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!
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
React+
[英文] Quick Start - React
https://react.dev/learn
This page will give you an introduction to 80% of the React concepts that you will use on a daily basis.
https://www.youtube.com/watch?v=SqcY0GlETPk
Master React 18 with TypeScript! ⚛️ Build amazing front-end apps with this beginner-friendly tutorial.
https://www.youtube.com/watch?v=x4rFhThSX04
Learn modern React basics in the most interactive, hands-on way possible in the full course for beginners.
Vue+
[英文] Tutorial | Vue.js
https://vuejs.org/tutorial/
The goal of this tutorial is to quickly give you an experience of what it feels like to work with Vue, right in the browser.
https://www.youtube.com/watch?v=VeNfHj6MhgA
3 Hour crash course of the Vue.js framework. You will learn all the fundamentals including components, directives, lifecycle, events and much more.
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.
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.
推理引擎+
https://www.youtube.com/watch?v=_dvk75LEJ34
https://www.youtube.com/watch?v=XtT5i0ZeHHE
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.
相关职位
实习A251637
日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。 团队介绍：UGC-Game是基于AIGC技术打造的新一代游戏开发引擎和互动社区。我们旨在提供各类工具和连接玩家和游戏产品的平台，帮助游戏创作者以更低的门槛和更高的效率，去创造更为丰富和自由的游玩互动体验，让人人都能成为游戏造梦师。加入这里，你将亲历产品从0-1的过程，dream big，dream fun！ 1、包括但不限于3D生成模型和多模态模型优化，3D数据分析，几何结构优化等； 2、包括但不限于动作生成模型优化，动作数据分析，自动重定向，自动绑定等； 3、包括但不限于LLMs方向的数据建设、指令微调、偏好对齐、模型优化； 4、包括但不限于游戏NPC智能对话交互，肢体动作生成，游戏剧情生成等应用落地。
更新于 2024-04-19
校招程序&技术类
1.研究前沿AI技术（如大语言模型、多智能体系统、生成式AI等），探索其在游戏研发管线优化及体验升级中的应用场景； 2.设计并开发基于AI Agent的研发工具链。覆盖代码审查、自动化测试、美术资源生成和优化、策划配置生成等环节； 3.定制引擎和工具流。协同策划、美术、程序团队重构工业化管线，建立AI驱动的敏捷研发新模式。
社招程序&技术类
1.研究前沿AI技术（如大语言模型、多智能体系统、生成式AI等），探索其在游戏研发管线优化及体验升级中的应用场景； 2.设计并开发基于AI Agent的研发工具链。覆盖代码审查、自动化测试、美术资源生成和优化、策划配置生成等环节； 3.定制引擎和工具流。协同策划、美术、程序团队重构工业化管线，建立AI驱动的敏捷研发新模式。
社招LQA本地化测试
1.负责游戏领域AI翻译、AI策划案生成相关的应用研究与开发，包括但不限于LLM等相关技术； 2.能够基于LLM构建应用，深入掌握模型训练微调的技术与方法； 3.参与项目的需求分析，制定相关的技术解决方案并完成设计开发与落地应用； 4.工作中与团队成员紧密合作，攻克项目应用研究过程中遇到的技术难题； 5.跟踪大模型在业界的最新技术动态与趋势应用方向，将其应用于实际的项目使用中； 6.编写高质量的技术文档，分享技术研究经验与结果。
更新于 2025-06-17