阿里巴巴算法工程师-大数据处理
校招全职阿里控股2026届秋季应届生招聘地点:杭州状态:招聘
任职要求
1.计算机、数学、统计、人工智能、大数据等相关专业硕士及以上学历,有数据算法相关实践经验,具备多模态/跨模态数据处理项目经验; 2.熟悉深度学习算法框架(如TensorFlow/PyTorch),在多模态数据处理、表征学习、大模型应用等领域有实现经验; 3.具备扎实的数学建模能力,擅长设计数据驱动的算法解决方案,对算法性能优化和工程实现有深刻理解; 4.熟悉大规模数据处理全流程,…
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工作职责
1.构建集团核心数据资产体系,结合业务需求与数据算法能力,主导大数据的处理、解析、分析、挖掘、研发及优化工作; 2.负责集团海量全模态(文本/图像/视频/音频)及跨模态数据的标签体系设计、特征提取、模式挖掘与内容理解,设计高精度、低资源消耗的多模态数据智能分析处理方案; 3.研发基于深度学习与大模型的跨模态数据融合算法框架,构建多模态数据协同分析模型,支撑业务场景下的数据价值挖掘与知识发现; 4.主导数据智能平台算法模块开发,构建支持海量、全模态数据处理的高可用数据中台; 5.踪多模态算法、大模型及前沿数据处理技术,推动创新算法在实际业务场景的落地应用。
包括英文材料
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.
学历+
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.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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.
还有更多 •••