美团C++/Java引擎研发工程师（推荐搜索方向）
社招全职3年以上核心本地商业-点评事业部地点：北京 | 上海状态：招聘
任职要求
1. 3年以上互联网研发工作经验； 2. 具备扎实的计算机基础和良好的编码风格，精通常用的数据结构与算法； 3. 熟练掌握C++或Java语言，理解搜索、推荐系等统相关知识并能应用于性能优化等； 4. 掌握分布式缓存、消息队列的使用，熟悉大型分布式、高并发、高负载、高可用性系统设计和开发； 5. 具备良好的沟通能力和优秀的团队协作精神，有强烈的责任感。 具备以下条件优先 1、有丰富的检索引擎开发经验，对倒排、KV、向量等索引结构有深入理解，对Elasticsearch、faiss、或自研等系统有丰富的经验； 2、对图化框架的研发较深入的了解和实战经验。 3、有PB级别大数据处理实战经验，熟悉大数据的技术栈； 4、在分布式模型训练、预估推理、特征工程等领域有经验。
工作职责
1. 主导与参与搜索、推荐相关业务和算法系统的设计与开发； 2. 通过架构抽象和优化，提升工程、算法、产品的迭代效率； 3. 通过合理的技术选型和实践，优化计算和存储资源效率； 4. 深入理解搜索或推荐业务，与产品及算法合作推动产品探索和前沿算法落地。
包括英文材料
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/
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
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.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
高负载+
https://dev.to/m0n0x41d/highload-saga-the-fundamentals-4kj4
In the modern big tech world, there are titans among mortal, tiny applications, and the common name for such titans is "Highload applications."
高可用+
https://redis.io/blog/high-availability-architecture/
A high available architecture is when there are a number of different components, modules, or services that work together to maintain optimal performance, irrespective of peak-time loads.
https://www.ibm.com/think/topics/high-availability
High availability (HA) is a term that refers to a system’s ability to be accessible and reliable close to 100% of the time.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
Faiss+
https://faiss.ai/index.html
Faiss is a library for efficient similarity search and clustering of dense vectors.
https://huggingface.co/learn/llm-course/en/chapter5/6
In this section we’ll use this information to build a search engine that can help us find answers to our most pressing questions about the library!
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.
特征工程+
https://www.ibm.com/think/topics/feature-engineering
Feature engineering preprocesses raw data into a machine-readable format. It optimizes ML model performance by transforming and selecting relevant features.
https://www.kaggle.com/learn/feature-engineering
Better features make better models. Discover how to get the most out of your data.
相关职位
社招技术类-开发
1、参与搜索、推荐、广告等引擎各个功能模块的设计和实现，构建高可靠性、高可用性、高可扩展性的引擎系统，满足日趋复杂的业务需求； 2、参与大模型在高德各个用户场景中的应用开发和落地。 2、参与产品的开发和维护，完成从需求到设计、开发和上线等整个项目周期内的工作；
更新于 2025-06-18
社招2年以上技术
国际化外卖-配送引擎方向, 为外卖配送提供了分单, 供需, ETA，地理围栏等业务核心能力; 技术上包括了分布式计算框架, 特征工程, 策略模型架构等方向, 涉及复杂的VRP算法优化、流式计算框架、资源调度平台、特征工程，内存存储引擎研发等工作, 具备较强的业务效果要求和技术深度挑战;
更新于 2025-09-08
社招5年以上技术
国际化外卖-配送策略架构方向, 为外卖配送提供了特征数据服务、策略工程和地理围栏等业务核心能力; 技术上包括了分布式存储框架，特征工程，策略模型架构等方向, 涉及流式计算框架、资源调度平台、特征工程，内存存储引擎研发等工作, 具备较强的业务效果要求和技术深度挑战;
更新于 2025-09-19
社招3年以上技术类-开发
团队介绍 天猫淘宝海外搜推导购技术团队承担了平台多端的搜索及推荐两大导购体系的技术平台和相关业务研发。你所加入的团队目前承担了数十亿用户搜索和推荐请求，解决国际跨境及本地市场搜索、推荐以及模型计算方面的挑战。 我们目前正致力于挖掘数据的价值，研发面向全球消费者端的创新搜索产品，提升消费者的搜索体验及效率。国际化是集团的重点方向之一，国际化业务的飞速发展需要有经验有想法有能力的研发工程师和架构师能够加入我们队伍，来一起打造更好的搜索推荐体系。 职位描述 1.负责研发及持续优化面向消费者端的搜索&推荐产品，提升用户搜索体验及效率、推荐的准确率 2.参与搜索架构的设计与研发工作，持续改进搜索系统平台的服务架构、核心算法或者核心技术等，保证系统高性能、高可用性和高可扩展性，支撑业务快速迭代及新模式的探索。 3.领导天猫淘宝海外平台跨团队协作的项目，保证项目如期交付并给用户带来价值； 4.新技术预研，完成项目的选型和设计，难点攻坚。
更新于 2025-10-10