Momenta感知视觉算法实习生
实习兼职地点：北京 | 苏州 | 上海状态：招聘
任职要求
岗位要求 1. 计算机/数学/物理/电子工程/自动控制专业硕士及以上学历，AI相关研究方向； 2. 熟悉至少一种深度学习框架，如：TensorFlow，PyTorch； 3. 熟练掌握Linux 应用环境、 有Shell脚本编程经验，熟悉Python/C++语言，开发能力良好优先； 4. 有计算机视觉感知/融合感知等自动驾驶感知研发经验优先； 5. 有CVPR/ICCV/ECCV/ICRA/NeurIPS/ICLR等深度学习顶会上发表论文经验优先；
工作职责
岗位职责 1. 研发基于深度学习的自动驾驶感知前沿技术； 2. 根据应用场景和客户需求定义，提供深度学习解决方案； 3. 挖掘海量数据构建高效的数据自动标注系统；
包括英文材料
学历+
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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
Bash+
[英文] The Bash Guide
https://guide.bash.academy/
A quality-driven guide through the shell's many features.
https://www.youtube.com/watch?v=tK9Oc6AEnR4
Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.
脚本+
[英文] Scripting language
https://en.wikipedia.org/wiki/Scripting_language
https://zhuanlan.zhihu.com/p/571097954
一个脚本通常是解释执行而非编译。脚本语言通常都有简单、易学、易用的特性，目的就是希望能让程序员快速完成程序的编写工作。
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.
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
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
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.
CVPR+
https://cvpr.thecvf.com/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
NeurIPS+
https://neurips.cc/
ICLR+
https://iclr.cc/
相关职位
实习底盘
1. 负责预瞄前端算法的开发，即使用激光雷达，摄像头等感知设备，结合传感融合的算法，获取供底盘使用的路面高程，路面特征等信息； 2. 负责预瞄视觉算法设计、代码开发； 3. 负责预瞄前端算法设计说明书、标定/测试手册等的撰写； 4. 负责相应软件到车载控制器的集成方案制定与相关测试工作。
实习算法
- 智能座舱中基础算法（人体、手势、物体等检测算法）的相关算法与工程研发； - 人手3D关键点模型训练； - 手势识别模型训练； - 真值三维重建系统开发与维护； - 座舱视觉大模型研发；
更新于 2024-10-30
社招算法
岗位职责： 1. 参与研发自动驾驶多视觉感知模型算法研究及优化 3. 参与基建完善，训练系统、评测系统优化等 4. 与团队协作实现算法迭代与优化，实现算法在自动驾驶业务中应用落地
更新于 2023-08-11
