滴滴路况红绿灯高级/资深算法研发工程师(JR2026040200E)
社招全职1年以上技术地点:北京状态:招聘
任职要求
任职要求 1. 本科及以上学历,计算机/AI/自动化/GIS/交通/数学等相关专业,1年及以上路况算法、时空建模相关研发经验。 2. 对深度学习、spatio-temporal(时空)建模有扎实的理解与实践经验,熟悉时空序列预测、时空特征挖掘相关算法。 3. 熟练掌握Python编程语言,精通PyTorch/TensorFlow等深度学习框架,有丰富的模型调优经验。 4. 熟悉Hado…
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工作职责
1. 负责路况与红绿灯相关核心算法研发、优化与落地,聚焦红绿灯倒计时预测、时空实时路况算法迭代,打造精准、高效的路况感知与信号预测能力。 2. 深耕红绿灯倒计时预测建模底层算法优化,挖掘时空关联特征,提升预测准确率与实时性,适配多场景红绿灯时序变化,支撑导航、出行规划等核心业务。 3. 负责道路动态信息预警算法研发,基于海量路况数据、红绿灯时序数据,实现路况突变、拥堵加剧等异常情况的精准预警,优化用户出行体验。 4. 运用深度学习、spatio-temporal(时空)建模技术,结合海量交通数据,完成算法设计、模型训练、验证与落地,持续迭代优化算法性能。 5. 处理海量时空交通数据,运用分布式计算技术完成数据清洗、特征提取,保障算法与模型的稳定、高效运行,推动技术成果落地到实际业务场景。 6. 跟踪路况、红绿灯算法领域前沿技术,沉淀专利与技术方案,参与技术创新,打造业务技术壁垒;联动团队解决算法落地过程中的各类技术难题。
包括英文材料
学历+
GIS+
https://www.osgeo.org/resources/learn-gis-free-complete-course/
Learning GIS, especially a modern GIS approach, can seem overwhelming, but this video explains how to take a four-step process to learn modern GIS and some tools to help you get started!
https://www.youtube.com/watch?v=n9dDsYLIx1c
Learning GIS, especially a modern GIS approach, can seem overwhelming, but this video explains how to take a four-step process to learn modern GIS and some tools to help you get started!
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/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
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.
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持,它允许使用简单的编程模型跨计算机群集分布式处理大型数据集,并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
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