小米端到端算法实习生
实习兼职地点：北京状态：招聘
任职要求
1. 扎实的C++或Python语言知识及熟练运用， 熟练使用pytorch/tensorflow等其中一种深度学习框架； 2. 在自动驾驶相关的感知算法（3D Detection/Segmentation，Occupancy Network，多传感器融合，深度估计等）中的一个或多个领域有过科研经历； 3. 优秀的沟通、学习及自我驱动能力；出色的团队合作意识； 4. 有多模态大模型，端到端自动驾驶模型相关科研、项目经历者优先； 5. 计算机，数学，机器学习，机器人，自动驾驶或相关专业优先； 6. 具备学术论文、优秀开源项目、高水平竞赛获奖者优先。
工作职责
1. 探索自动驾驶领域感知模型算法的研究和优化，持续探索感知模型的时空表征、感知能力； 2. 探索自动驾驶领域端到端模型、多模态大模型、强化学习等前沿技术算法的研发和优化；
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
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.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
自动驾驶+
https://www.youtube.com/watch?v=_q4WUxgwDeg&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr
Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)
https://www.youtube.com/watch?v=NkI9ia2cLhc&list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
You will learn to make a self-driving car simulation by implementing every component one by one. I will teach you how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions and how to make the car control itself using a neural network.
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/
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
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.
相关职位
实习
1. 探索自动驾驶领域感知模型算法的研究和优化，持续探索感知模型的时空表征、感知能力； 2. 探索自动驾驶领域端到端模型、多模态大模型、强化学习等前沿技术算法的研发和优化；
更新于 2025-07-31
实习
负责端到端方案变道决策规划算法的维护 负责变道决策相关的数据挖掘 负责变道功能的客户问题分析、数据回流等 负责变道决策评测算法开发。
更新于 2024-04-16
实习算法序列
1、探索自动驾驶前沿算法，如端到端算法、闭环训练方式等，完成模型训练与方法验证； 2、参与感知算法研发，解决 3D Occupancy、动静态要素的感知难点问题；
更新于 2025-10-09
实习
1、负责 Deep Learning Planning 算法设计、模型训练、评测构建与实车路测等相关工作； 2、负责高速高架及城区等场景自动驾驶的量产交付，并逐步朝终局无人驾驶前进； 3、负责无图方案下End-to-end实时导航、道路结构认知(LaneGraph)相关算法设计与验证工作； 4、优化神经网络模型，增强模型对道路结构认知的能力，提升高速/城市无图场景下的产品性能； 5、针对业务需求和实车Bad Case，设计并验证优化方案，完成One Model 算法的持续迭代。
更新于 2024-10-22