滴滴高级算法工程师(J250908026)
社招全职1年以上技术地点：杭州状态：招聘
任职要求
1. 统招本科及以上学历，计算机、数据分析、数学、经济金融财务等相关专业 2. 一年及以上的风控算法工作经验，对业务和数据敏感 3. 熟悉常用的机器学习与数据挖掘算法，具备算法调优或创新的经验，包括但不限于基础的线性回归、逻辑回归、生存分析等经典统计算法，随机森林、GBDT等决策树算法，Wide & Deep、DeepFM、MMOE等深度学习算法 4. 熟练使用Python/Mysql/Hive/Hadoop/Spark，能对海量数据进行高效分析 5. 能快速发现问题和解决问题，思维开阔，有自驱力，能主动思考和学习，有良好的发散思维、逻辑思维和结构化思维 加分项: 1. 具备国际化风控业务经验 2. 有留学或者外企工作背景，英文水平流利，掌握西语或者葡语更佳
工作职责
滴滴自2018年初收购巴西出行平台99开始，正式启动了国际化战略。目前，滴滴的国际业务覆盖了拉美、亚太和非洲的14个国家，为当地市场提供以出行为主、涵盖外卖和金融的多样化服务。 1. 深入理解滴滴海外业务模式、流程和系统架构，和策略、产品、技术高效沟通，开发风控算法模块 2. 掌握数据驱动的方法论和技术栈，定量识别和防御业务风险，并平衡体验、增长等业务目标
包括英文材料
学历+
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
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/
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.
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
GBDT+
https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt
Like bagging and boosting, gradient boosting is a methodology applied on top of another machine learning algorithm.
https://scikit-learn.org/stable/modules/ensemble.html
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.
DeepFM+
https://d2l.ai/chapter_recommender-systems/deepfm.html
DeepFM consists of an FM component and a deep component which are integrated in a parallel structure.
https://deeprs-tutorial.github.io/WWW_DNN.pdf
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.
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.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
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.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
相关职位
社招技术
1、参与下一代客户服务Agent的构建，负责Agent生命周期的数据飞轮建设，搭建一站式的数据处理和应用平台，高效满足策略分析、模型训练、效果评测等agent构建环节的数据应用诉求； 2、与产品、工程、算法、运营团队紧密沟通协作，深入了解agent生命周期各个环节的工作，充分挖掘数据应用痛点和诉求，抽象沉淀建设平台能力，持续推动平台的整体架构演进； 3、关注行业前沿，持续探索数据飞轮在Agent场景下的最佳实践。
更新于 2025-09-04
社招5年以上A118837
1. 通过对海量车辆运行日志的深度解析，提取关键信息，包括车辆故障码、传感器数据、驾驶行为数据等，为故障诊断提供数据支持。 2. 运用数据挖掘技术，如聚类分析、关联规则挖掘等，发现车辆日志中的潜在模式和异常行为，提前预警潜在故障风险，为预防性维护提供依据。 3. 构建车辆故障诊断方案检索系统，基于车辆故障特征和历史维修记录，快速检索出与当前故障相似的诊断方案和维修案例，为诊断人员提供参考。 4. 运用大语言模型、机器学习算法，优化存量远程诊断案例方案推荐，针对存量方案库生成新的方案，提高诊断效率和准确性。
更新于 2025-05-26
社招5年以上A35523
1、负责端侧CV算法的研发和落地，包括但不限于目标检测、识别、跟踪等算法； 2、负责算法工程化，包括模型工程化和优化等工作； 3、负责端侧算法框架设计开发； 4、可能也会参与一部分多模态大模型相关的工作；
更新于 2025-04-02