高德地图AI Agent研发工程师-汽车业务
实习兼职高德地图2026届春季校园招聘地点:厦门状态:招聘
任职要求
1、学历要求 ● 人工智能、计算机科学与技术、软件工程等相关专业本科及以上学历(优秀硕士生优先)。 2、技术能力 大模型应用与调优 ● 熟悉主流大模型,并有相关使用经验,了解不同模型的优缺点。 ● 掌握LangChain、Coze、Dify等AIGC应用开发框架,熟悉RAG、工具调用(Function calling/MCP)、知识库搭建等技术栈。 编程与开发能力 ● 精通Python等主流语言,具备算法实现与系统开发能力。 ● 熟练使用数据分析工具,如 Python(Pandas、NumPy、Matplotlib、Seaborn)、R 或 SQL。 ● 熟悉常用的数据库管理系统(如 MySQL、PostgreSQL)及数据查询语言。 ● 扎实的“数据结构与算法”基础。 AI算法与工程化 ● 熟悉机器学习/深度学习算法(如线性回归、聚类分析、分类模型等),具备模型工程化落地经验优先。 ● 掌握基本的统计学知识(如概率分布、假设检验、回归分析等)。 ● 了解自然语言处理领域常用的文本分析、语言生成方法。 3、项目经验 ● 有开源项目贡献、智能体竞赛经验或作为主要参与者落地校企合作项目者优先。 4、其他要求 ● 具有较强的沟通能力、问题解决能力与团队协作精神,能有效推动AI项目的进展。 ● 对AI技术充满热情,具备较强的学习能力和自我驱动力,能持续掌握新技术和知识。 ● 对业务需求有深刻理解,能将技术解决方案与业务目标对齐。
工作职责
汽车业务中心:主要负责高德车载导航和高级辅助驾驶地图服务等,“人车共导”,实现车道级导航,助力广大车厂实现智能导航和智能辅助驾驶的突破。 职位描述: 1、主导AI项目的技术探索和可行性分析,负责方案设计、开发、测试和上线维护的整个技术生命周期。 2、需深刻洞察业务目标,制定最有效的技术策略,并应用先进的AI/AIGC技术解决实际业务问题。 3、负责对现有AI产品进行性能调优和功能增强,从而提高整体业务运作的效率和质量。 4、保持对国内外AI技术发展和应用场景的前瞻性关注,主动发掘并驱动AI技术在本业务领域的优化升级与创新实践。
包括英文材料
学历+
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
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
开发框架+
[英文] Understanding Modern Development Frameworks: A Guide for Developers and Technical Decision-makers
https://www.freecodecamp.org/news/understanding-modern-development-frameworks-guide-for-devs/
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
MCP+
https://www.youtube.com/watch?v=eur8dUO9mvE
Unlock the secrets of MCP! 🚀 Dive into the world of Model Context Protocol and learn how to seamlessly connect AI agents to databases, APIs, and more. Roy Derks breaks down its components, from hosts to servers, and showcases real-world applications. Gain the knowledge to revolutionize your AI projects!
https://www.youtube.com/watch?v=L94WBLL0KjY
Let's talk about MCP or the Model Context Protocol.
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.
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/
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
NumPy+
https://numpy.org/doc/stable/user/absolute_beginners.html
NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering.
[英文] NumPy - Learn
https://numpy.org/learn/
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
https://www.kaggle.com/code/themlphdstudent/learn-numpy-numpy-50-exercises-and-solution
This kernel uses exercises of NumPy from the Machine Learning Plus webpage
https://www.youtube.com/watch?v=KHoEbRH46Zk
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other.
https://www.youtube.com/watch?v=QUT1VHiLmmI
Learn the basics of the NumPy library in this tutorial for beginners.
https://www.youtube.com/watch?v=VXU4LSAQDSc
This video serves as an introduction to the NumPy Python library.
Matplotlib+
https://matplotlib.org/stable/tutorials/index.html
This page contains a few tutorials for using Matplotlib.
https://www.youtube.com/watch?v=c9vhHUGdav0
This video serves as an introduction to the Matplotlib Python library.
https://www.youtube.com/watch?v=OZOOLe2imFo
In this video we do a complete Matplotlib crash course in Python.
R+
[英文] R Tutorial
https://www.w3schools.com/r/
R is often used for statistical computing and graphical presentation to analyze and visualize data.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线,包括数据库相关知识,SQL语句的使用,数据库约束,设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
PostgreSQL+
[英文] PostgreSQL Tutorial
https://neon.com/postgresql/tutorial
This PostgreSQL tutorial helps you quickly understand PostgreSQL.
[英文] PostgreSQL Tutorial
https://www.pgtutorial.com/
This PostgreSQL tutorial will teach you about PostgreSQL from beginner to advanced.
https://www.youtube.com/watch?v=qw--VYLpxG4
It is the most advanced open source database system widely used to build back-end systems.
https://www.youtube.com/watch?v=SpfIwlAYaKk
Learn PostgreSQL, one of the world's most advanced and robust open-source relational database systems.
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
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.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
相关职位
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