米哈游【提前批】引擎开发工程师
校招全职程序&技术类地点：上海状态：招聘
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
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!
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
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
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.
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/
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.
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
相关职位
校招程序&技术类
1、参与企业级数据平台建设，负责数据采集、存储、计算、可视化全链路开发； 2、深入业务场景，参与数据模型设计与优化，提升数据质量和计算效率； 3、参与AI数据产品设计与开发。
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。
校招程序&技术类
1. 算法系统集成与优化： 负责TTS、V2F、V2M等算法服务的实现，并和UE引擎进行系统级集成，确保高效稳定运行；设计实现算法模块与UE的通信协议、数据接口及实时流式推理管线。 2. UE管线开发与维护： 构建UE与AI服务(AIO)交互框架，管理数据传输(如BlendShape、骨骼数据)，保障端到端效果；优化3D角色表情/动作实时驱动流程，解决延迟、同步与性能瓶颈。 3. 跨环节效果调优与Debug： 分析效果表现层级(算法输出→引擎解析→美术渲染)，定位失真根源(算法/引擎/资产)；协同算法、美术团队制定数据规范与质量标准，主导跨领域优化方案。 4. 技术方案设计： 设计算法模块单元测试与集成测试策略，确保系统鲁棒性及扩展性。
校招程序&技术类
1、负责公司各AI推理场景（LLM/多模态/视频等）的推理系统研发和性能优化、资源调度、可观测性搭建、日常维护等工作 2、与算法团队深度合作，进行算法与系统的联合设计与优化（如模型量化、kvcache量化、投机采样等） 3、保持关注行业前沿技术，且有能力和热情开展创新研究