理想汽车【自动驾驶】世界模型高级算法工程师
社招全职自动驾驶地点:北京状态:招聘
任职要求
1.应用数学、计算机、模式识别、机器学习、电子信息、机器人等相关专业的硕士/博士或者同等工作经验; 2.有生成模型(VAE/Stable Diffusion/DiT等)应用到自动驾驶领域实践经验的候选人优先; 3.熟悉数据结构、算法设计、并行编程、代码优化和大规模数据处理,对Python有深入掌握,有ACM获奖优先; 4.对自动驾驶充满热情,具备良好的团队协作能力、沟通表达能力、抗压能力,能识别关键问题并推动解决; 5.有计算机视觉及模式识别领域顶会(CVPR/ICCV/ECCV/ICML/NeurIPS)或顶刊(TPAMI/IJCV/TIP)论文者优先,有顶级学术比赛成果或类似工程项目经验者优先。
工作职责
1.负责自动驾驶云端世界模型的研究、算法开发和交付落地; 2.分析自动驾驶对于世界模型的业务需求,建立评测方案和指标体系,确保技术方案可量产; 3.跟踪自动驾驶领域世界模型的前沿技术,探索新算法在实际场景中的应用,保持技术行业领先;
包括英文材料
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
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.
Stable Diffusion+
https://course.fast.ai/Lessons/lesson9.html
This lesson starts with a tutorial on how to use pipelines in the Diffusers library to generate images.
https://www.youtube.com/watch?v=dMkiOex_cKU
earn how to use Stable Diffusion to create art and images in this full course.
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.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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/
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.
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.
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.
ICML+
https://icml.cc/
NeurIPS+
https://neurips.cc/
相关职位
社招4年以上
1. 负责自动驾驶世界模型、场景重建相关技术的研究、算法开发、性能调优;相关技术包括3DGS/NeRF、Diffusion Model、多模态、生成式模型等; 2. 负责世界模型在自动驾驶闭环仿真场景生成领域的量产落地,解决落地过程中的关键技术问题; 3. 跟进相关领域世界模型的前沿技术,保持技术行业领先;
更新于 2025-01-17
社招3年以上
1. 负责研究和开发适合机器人的多模态大模型算法,包括但不限于语言、图像、视频、点云等模态,应用于机器人环境感知、决策、规划控制等领域 2. 负责多模态大模型算法设计、开发以及验证,通过仿真和数据闭环等方式控制和量化算法迭代效果 3. 通过研发世界模型、生成式模型,搭建闭环渲染系统,辅助端到端模型的训练 4. 深入调研前沿算法,探索前沿算法在具体场景中落地的可能性
更新于 2025-03-06
社招
1.设计、实现与维护自动驾驶软件系统框架,优化系统的性能、稳定性。 2.负责多传感器(包括IMU、Vision、Lidar等)的标定、建图、定位相关算法的研究、设计、开发与实现。 3.负责视觉SLAM技术在自动驾驶、具身智能等领域的应用和落地。 4.开发基于视觉的动静态场景重建、仿真、生成技术。
更新于 2025-04-24