百度大数据研发工程师(J85648)
社招全职MEG地点:北京状态:招聘
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/
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.
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.
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.
Scala+
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.
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.
编程规范+
[英文] Google Style Guides
https://google.github.io/styleguide/
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.
相关职位
实习MEG
-负责百度APP、信息流、及百家号业务的大数据平台建设,支撑亿级用户数据PB级分析与实时计算需求 -参与数据采集、存储、计算、治理全链路研发,优化数据架构与处理性能 -搭建实时/离线数仓,支持精准推荐、用户画像、业务分析等场景 -擅长大数据技术(如Flink/Spark/Hadoop/数据湖等),推动技术落地与效率提升 -解决高并发、海量数据场景下的技术难题,保障系统稳定性和可扩展性
更新于 2025-06-05
社招MEG
职位描述: 1、负责大模型训练、对齐相关工作,包括不限于数据迭代、模型训练、模型评估。 2、结合实际场景,提供全面的技术解决方案,参与PE、推理优化、数据飞轮建设,提升大模型在应用场景的效果。 3、协助开发和优化 Al Agent 的数据采集、分析及数据闭环相关工具,支持标注工具、研发工具、数据分析与可视化系统的设计与实现,提升产研团队的工作效率 4、探索并训练高表现力布局生成模型效果,探索前沿的建模方式、训练策路、数据策略,以达到SOTA效果;探索Al能力的极限,并赋能产品以创造价值。
更新于 2025-06-05
社招A140437
1、广告各类在线业务的离线数据加工与在线数据服务开发与维护; 2、数据服务接口及产品需求研发迭代,代码review、bug修复及日常服务运维; 3、针对海量数据处理和查询需求,设计适应业务变化的合理的多维数据分析系统架构,满足多样性的需求; 4、海量日志清洗加工,并抽象出可以多业务复用的数据模型。
更新于 2023-10-20