腾讯混元多模态强化学习后训练算法工程师（框架协同方向）（北京/上海）
社招全职3年以上AI技术地点：深圳状态：招聘
工作描述
任职要求 1.学历与技术背景：拥有计算机科学、人工智能、电子工程、自动化等相关专业的硕士及以上学历。具备扎实的机器学习/深度学习基础，对多模态大模型和强化学习后训练技术栈有深入理解； 2.核心算法与工程能力：精通Python编程，熟练掌握PyTorch等深度学习框架。对Transformer、Diffusion等模型架构有深刻理解； 3.深刻理解SFT、RLHF、DPO等后训练算法的原理、流程及常见挑战（如训练不稳定性、奖励黑客行为等）； 4.具备优秀的工程实现和调试能力，能够快速验证算法想法，并进行严格的实验分析以评估性能； 5.框架协同与系统视角：； 6.熟悉至…
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包括英文材料
学历+
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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
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.
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/
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