滴滴Artificial Intelligence(5)测试开发实习生
实习兼职技术类地点:北京状态:招聘
任职要求
1. 计算机类、软件工程类、车辆工程类、自动化类、电子信息类等相关专业; 2. 硕士及博士研究生; 3. 每周5天,至少3个月以上,并按要求完成相关任务; 4. 有一定计算机基础,熟练使用Python / C++等编程语言和Linux操作系统; 5. 有较强代码编写和调试能力,能够对开源算法进行复现、调试和改进; 6. 有志于深耕自动驾驶领域,工作严谨负责、积极用心,有较强团队合作能力和自驱力; 7. 在自动驾驶场景生成与挖掘等领域有项目经验者优先;有感知/定位/决策/预测/规划/DPC/PNC算法开发经验者优先;有机器学习、深度学习、大模型等相关经验者优先;发表过相关领域SCI期刊或CCF-A/CCF-B/CCF-C会议优先;
工作职责
1. 基于风险场理论、人工势场方法、RSS数学模型等,进行自动驾驶评估算法开发和评估环境搭建; 2. 完成评估算法的接入和日常调试,完成测试数据的处理、分析,并结合相关指标完成自动驾驶算法的安全评估和问题定位; 3. Data-science应用于数据场景挖掘&生成。
包括英文材料
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
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
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/
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.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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
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.
相关职位
实习技术类
1、自动驾驶系统验证、算法评估等环节的方案设计和实施,制定计划,设计场景,评估执行并撰写报告; 2、负责问题分析、定位,通过部分系统分析和数据分析工作为部门提供高价值研发数据 3、负责利用SIL、HIL、VIL等手段对自动驾驶系统进行全面评估 4、参与制定/规划符合功能安全规范的自动驾驶软件的测试框架和测试方法; 5、参与质量效能工具平台建设,用系统化、流程化的思路提高软件质量保障效果;
更新于 2025-08-01
实习数据类
1、基于海量的路测和仿真数据,利用统计和机器学习技术,研究并制定自动驾驶算法评估指标,量化自动驾驶系统表现; 2、基于自动驾驶系统的行为和交通场景,开发自动评价指标,并推进指标的落地应用; 3、应用评价指标,追踪自动驾驶算法性能的变化,并提供风险信息警示; 4、从路测数据中挖掘算法的异常表现; 5、在仿真测试中应用评价规则,判断仿真测试用例是否通过;
更新于 2025-07-23