美团机器学习平台高级开发工程师
社招全职核心本地商业-业务研发平台地点:上海 | 北京状态:招聘
任职要求
1. 熟悉Java/Python/C++其中一种语言,熟悉Spark、Flink等大数据框架 2. 具有扎实的计算机理论基础,较强的数据结构和算法功底。 3. 具备良好的逻辑思维能力,掌握分析系统问题的基本思路和方法。 4. 善于交流,有良好的团队合作精神和协调沟通能力,有跨团队的合作经验和意识。 具备以下条件优先 1. 熟悉大数据计算框架/深度学习框架(包括但不限于Spark/Flink、TensorFlow/PyTorch等)的实际应用经验和原理了解,有性能优化或平台化的经历 2. 有大型互联网相关的搜索、推荐、广告等领域的经验者优先
工作职责
1. 参与建设搜推机器学习平台,根据业务需求开发相应功能,支持算法的业务迭代,提升算法迭代效率 2. 对算法开发过程进行抽象,将常用的深度学习过程沉淀为组件,建设算法开发pipeline,设计代码与可视化组件相结合的编程范式,提供便捷稳固的一站式环境托管 3. 面向核心本地商业全搜推业务,建设海量数据规模的特征/样本工程,包括离线特征/样本生产、流式训练数据链路建设(ODL)、特征样本监控分析等大数据工程
包括英文材料
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
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
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.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
相关职位
社招
1. 负责自研机器学习平台的研发,设计和实现机器学习平台相关的基础设施和工具链; 2. 负责机器学习平台的需求落地,关注模型训练、推理过程中的稳定性、资源利用率等问题; 3. 负责GPU集群的运维工作。
更新于 2025-07-25
社招3年以上机器学习平台
1、负责模型训练平台核心功能开发和架构设计,包括传统CN/NLP/SD/LLM等多场景支持 2、负责大模型后训练工具平台化建设,包括后预训练、微调、对齐等技术落地 3、设计和实现高性能分布式训练系统,打造端到端训练解决方案 4、优化训练调度和资源管理,提升集群利用率和训练效率 5、开发模型训练监控诊断工具,建设可观测性体系
社招3年以上机器学习平台
1、负责AI平台推理部署核心功能开发,包括服务管理、部署、发布等模块 2、设计并实现推理服务的自动化运维体系,包括监控、告警和运维工具 3、开发服务编排和调度系统,实现资源的高效分配和负载均衡 4、构建平台运维API和SDK,提供完整的服务生命周期管理能力 5、优化平台整体架构,提升系统可用性、扩展性和性能