腾讯微信-客户端开发工程师-本地智能搜索
社招全职1年以上搜一搜技术地点:广州状态:招聘
任职要求
1.有扎实的计算机理论基础,熟悉 C++/Java 等一种或多种开发语言; 2.了解主流大模型架构原理,具备 RAG 应用等实践经验。(有端侧模型开发经验者更佳); 3.有较强的自驱能力和学习能力,能够积极响应变化,关注性能及用户体验; 4.对 AI 技术发展保持高度敏感,具有前沿技术探索能力,能快速跟进大模型领域最新技术进展; 5.有移动端 iOS/安卓/鸿蒙等一个或多个平台相关开发经验者优先; 6.有大模型预训练、微调或推理部署(如 llama.cpp、mlx 等)开发经验者优先。
工作职责
1.负责微信 本地搜索 iOS/Android客户端的开发维护工作,解决海量信息高效查找的问题; 2.参加本地搜索产品需求的讨论和开发工作,持续提升用户体验; 3.参加性能和稳定性相关的体系建设、相关的工具开发,保证软件质量和研发效率; 4.参与本地搜索 端侧模型的探索,包括但不限于端侧推理,端云协同智能等。
包括英文材料
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
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
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
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
iOS+
https://www.youtube.com/watch?v=UNH0bE4zPtY&list=PLSzsOkUDsvdu5Mm67aBYs2YPu2OM4mFzt
llama.cpp+
https://blog.steelph0enix.dev/posts/llama-cpp-guide/
No LLMs were harmed during creation of this post.
https://github.com/ggml-org/llama.cpp/discussions/15396
This is a detailed guide for running the new gpt-oss models locally with the best performance using llama.cpp.
https://www.youtube.com/watch?v=EPYsP-l6z2s
In this guide, you'll learn how to run local llm models using llama.cpp.
MLX+
[英文] MLX documentation
https://ml-explore.github.io/mlx/build/html/index.html
MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.
[英文] MLX
https://mlx-framework.org/
MLX is an array framework for efficient and flexible machine learning on Apple silicon.
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