Momenta端到端大模型算法实习生
实习兼职研发地点：北京状态：招聘
任职要求
1.计算机、人工智能、自动化、机器人等相关专业硕士及以上学历； 2.熟练掌握 Python/C++，精通 PyTorch 等主流深度学习框架，具备良好的数学基础（线性代数、概率论、最优化）； 3.熟悉端到端自动驾驶技术栈（如 UniAD、SparseDrive、VAD、DriveVLM 等），理解感知-预测-规划一体化建模方法； 4.深入理解 Transformer、Diffusion Model、自回归生成模型等主流架构，有 World Model（如 JEPA、UniSim、DriveDr…
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工作职责
1.负责端到端智驾大模型的算法预研、算法突破与验证工作; 2.基于端到端大模型，进行世界模型算法预研，提升端到端模型效果和泛化性。
包括英文材料
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.
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/
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
学历+
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.
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相关职位
实习软件工程
1. 设计并实现端到端智驾大模型，整合感知、规划与决策功能，提升模型的整体性能与效率； 2. 运用深度学习、强化学习、机器学习等技术，优化模型结构，提高模型对复杂驾驶场景的理解和应对能力； 3. 负责收集、标注和处理自动驾驶相关数据，构建高质量的数据集，为模型训练提供有力支持； 4. 利用数据增强、迁移学习等方法，提升数据利用效率，优化模型的泛化能力； 5. 跟踪自动驾驶和人工智能领域的最新研究成果，探索新技术在端到端大模型中的应用可能性。
更新于 2025-08-06北京|苏州|上海
校招算法序列
1. 参与探索下一代端到端自动驾驶系统的研发； 2. 参与大模型关键技术建设，包括但不限于prompt工程、SFT、对齐及DPO等细分方向； 3. 负责端到端大模型自动驾驶系统的算法研发，包括但不限于多模态大模型、生成式世界模型、Diffusion model等方向； 3. 深入理解自动驾驶的应用场景，参与自动驾驶的数据集收集、整理、标注、管理等；
更新于 2025-05-30北京|上海|深圳
实习算法序列
1. 参与探索下一代端到端自动驾驶系统的研发； 2. 参与大模型关键技术建设，包括但不限于prompt工程、SFT、对齐及DPO等细分方向； 3. 负责端到端大模型自动驾驶系统的算法研发，包括但不限于多模态大模型、生成式世界模型、Diffusion model等方向； 3. 深入理解自动驾驶的应用场景，参与自动驾驶的数据集收集、整理、标注、管理等；
更新于 2025-05-30北京|上海|深圳
实习算法
1. 研究和开发先进的机器学习算法， 应用于智能辅助驾驶的各个领域，包括但不限于： - 端到端大模型 (VLA、世界模型等) - 环境感知 (目标检测、语义分割、多传感器融合等) - 决策规划 (路径规划、行为预测、运动控制等) 2. 探索和实现前沿的人工智能技术， 如深度学习、强化学习、计算机视觉、自然语言处理等，以提升智能辅助驾驶系统的性能、安全性和可靠性。 3. 设计和开发大规模数据集， 用于训练和评估智能辅助驾驶算法。
更新于 2025-07-02上海|北京