小米顶尖应届--机器人强化学习算法研究员-机器人事业部
校招全职地点:北京状态:招聘
任职要求
1. 硕士及以上学历,机器人、计算机、人工智能、机器学习、应用数学等专业,理论功底深厚,有相关足式机器人传统控制经验更优; 2. 具有强化学习相关项目研究经验,熟悉Mujoco、Pybullet、Isaac Sim/Gym等机器人仿真平台,熟悉Linux、ROS等操作系统; 3. 掌握主流强化学习算法如DQN、PPO、DDPG、SAC等主流算法,熟悉Pytorch、TensorFlow机器学习框架; 4. 扎实的C++、Python编程能力; 5. 数学基础扎实,具有较强的学习与研究能力,熟悉大模型理论者优先。
工作职责
1. 开发基于机器学习的机器人控制策略,完成机器人端对端的算法训练与部署; 2. 负责算法策略的训练与移植部署,实现算法sim2real在机器人实机上落地应用; 3. 持续跟踪国内外前沿研究成果,并进行相关算法复现,参与相关方向的论文与专利积累。 【课题名称】 机器人强化学习算法研究 【课题内容】 追踪当下前沿机器人强化学习算法,复现并创新。
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.
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.
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
ROS+
https://www.youtube.com/watch?v=92Zz5nnd41c&list=PLk51HrKSBQ8-jTgD0qgRp1vmQeVSJ5SQC
https://www.youtube.com/watch?v=HJAE5Pk8Nyw
Ready to learn ROS2 and take your robotics skills to the next level?
https://www.youtube.com/watch?v=MWKnMPX0Yjg&list=PLU9tksFlQRircAdEplrH9NMm4WtSA8yzi
Do you want to know more about ROS the Robot Operating System?
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/
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.
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.
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
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.
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
相关职位
校招
1.参与具身智能算法模型在技能学习、动作规划、抓取操作等应用上的研发,实现多场景多任务的泛化; 2.设计、训练、部署模仿学习、强化学习、迁移学习、多模态学习等算法,构建机器人各类应用的通用技能; 3.与大模型、运控等团队合作,推动具身智能数据集、机器人平台等各项目落地实施; 4.紧跟最新技术进展,将学术界前沿创新内容进行快速复现并创新,参与相关方向的论文与专利积累。 【课题名称】 机器人具身智能算法研究 【课题内容】 追踪当下前沿机器人具身智能算法,复现并创新。
更新于 2025-06-26
校招
1.负责多自由度灵巧手的控制算法开发,具体应用包括功能性抓取和手内操作; 2.基于人类数据的VLA/VLM多模态大模型训练及微调; 3.开展结合视觉,触觉和关节力的多模态灵巧手控制方法研究,能对硬件设计提出相关指标性要求; 4.灵巧手相关的仿真平台和数据采集训练平台的搭建。 【课题名称】 多自由度灵巧手控制算法开发 【课题内容】 跟踪技术前沿,进行多自由度灵巧手的控制算法开发预研。
更新于 2025-06-26
校招
1. 研究并实现适用于自动驾驶场景的强化学习/模仿学习/混合学习策略; 2. 推动策略优化算法在实车数据和仿真数据间的迁移落地; 3. 联合量产团队完成RL策略在真实驾驶系统中的部署与评估。 【课题名称】 基于强化学习的E2E Planning 【课题内容】 致力于通过强化学习范式建立从视觉输入到控制输出的直接路径,强调在长期决策、稀疏奖励、环境反馈闭环中建模agent的真实驾驶行为。探索强化学习在自动驾驶E2E系统中的策略稳定性、泛化性与数据效率。
更新于 2025-06-26