阿里巴巴研究型实习生-RL Systems工程师
实习兼职阿里巴巴研究型实习生地点:杭州状态:招聘♡ 收藏
工作描述
任职要求 1. 熟练掌握 Python、PyTorch,熟悉 Linux、Git、Docker 等工具,有实际工程项目经验,能够独立完成模块设计、开发、测试和复杂问题排查; 2. 理解 LLM 训练及强化学习流程,熟悉 PPO、GRPO 等算法,理解 Rollout、Reward、Policy Update、On-policy / Off-policy 等核心概念; 3. 有 LLM Training、Agentic RL 或相关项目经验,使用或研究过 Slime、verl、OpenRLHF、TRL 等主流训练框架,理解其核心架构和数据流; 4. 熟悉异步编程和分布式系统,了解 Ray 等分布式执行框架,有任务调度、并发执行或分布式服务的实践经验; 5. 熟悉主流 Agent 框架的运行机制,有 Coding Agent、Search Agent 或其他工具调用型 Agent 的开发、改造或调试经验; 6. 具备良好的 Vibe Coding 能力和 Engineering Taste,熟练使用 Claude Code、Codex 等 AI Coding 工具,能够独立进行系统设计、Code Review、Debugging 和测试,对代码质…
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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.
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.
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
Git+
https://www.youtube.com/watch?v=rH3zE7VlIMs
Learn Git from start to finished in this full course written by ThePrimeagen.
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.
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.
GRPO+
https://cameronrwolfe.substack.com/p/grpo
Most early work on RL for LLMs used Proximal Policy Optimization (PPO) as the default RL optimizer, but recent reasoning research relies upon Group Relative Policy Optimization (GRPO).
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