华为AI模型工程师-Agent技术
校招全职研发类地点:北京 | 杭州 | 上海 | 深圳 | 西安 | 武汉 | 南京 | 苏州 | 东莞 | 成都 | 长沙 | 济南状态:招聘
工作描述
任职要求 1、人工智能、机器学习、自然语言处理、计算机科学、统计数学等相关专业; 2、具备扎实的算法研究功底和代码实现能力,深入理解大语言模型原理、Agent架构设计、强化学习、认知推理与决策规划,熟悉主流AI框架与分布式训练系统; 3、具备敏锐的科研洞察力、创新思维和独立攻关能力,能够主动追踪前沿技术动态,善于从复杂问题中抽象核心科学问题并推动技术突破; 4、具有Agent系统研发经验者优先,包括但不限于自主规划、工具学习、多…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
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.
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.
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/
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.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
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.
还有更多 •••
相关职位
实习研发类
1、人工智能、机器学习、自然语言处理、计算机科学、统计数学等相关专业。 2、具备扎实的算法研究功底和代码实现能力,深入理解大语言模型原理、Agent架构设计、强化学习、认知推理与决策规划,熟悉主流AI
更新于 2026-03-25北京|上海|东莞
社招5年以上游戏技术
1.有大模型后训练经验,包括精调(SFT)、RLHF(PPO,GRPO) 等技术的落地; 2.有代码生成或LLM Agent的应用落地经验者优先; 3.熟悉自然语言处理方向常用的理论和方法,熟悉阅
更新于 2025-11-20深圳
实习J1014
1、本科及以上学历,计算机相关专业,有扎实的计算机基础知识以及 Java 或 Python 编程功底; 2、对大模型、Agent、RAG 等方向有较强兴趣,理解 LLM 的基本原理、上下文机制、Pro
更新于 2026-03-23杭州