字节跳动面向国际电商场景的大模型应用-国际电商(杭州)
校招全职A61130地点:杭州状态:招聘
工作描述
任职要求 1、2027届毕业,获得博士学位,计算机等相关专业优先; 2、扎实的机器学习技术基础,了解前沿的AI技术,发表过高水平学术会议论文或有竞赛经验; 3、熟悉大数据相关框架和应用Hadoop、MapReduce/Spark等; 4、熟悉TensorFlow/PyTorch模型的训练和部署,了解混合精度训练、分布式训练等训练加速方法; 5、了解模型压缩&推理加速的研究和技术进展,包括但不限于模型量化、剪枝、蒸馏、TensorRT推理优化等; 6、熟悉以下任一方向的技术: 1)CV&多模态:在多媒体和计算机视觉某个领域有较深入的研究,包括但不限于:图像搜索、图像/视频分类和识别、图像分割、目标检测、OCR、图神经网络、多模态、无监督和自监督学习等;有CV/多模态大模型相关项目经验,研发&优化电商视频&商品多模态大模型,结合LLM和视频/商品表征,支持视频多模态分类,视频QA,跨模态检索,商品分类等任务,显著超越线上模型;有较强的实践能力,在Kaggle,COCO,ImageNet,ActivityNet,ICPC等比赛获奖;熟悉前沿工作,在顶级学术会议(如CVPR、ICCV、ECCV等)发表论文; 2)自然语言处理(NLP):NLP方向上有较深入的研究,包括但不限于:预训练技术,自然语言理解,多语言&跨语言学习,自然语言生成,迁移学习,半监督学习等;有LLM大模型相关…
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包括英文材料
学历+
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.
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.
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.
MapReduce+
https://www.youtube.com/watch?v=bcjSe0xCHbE
https://www.youtube.com/watch?v=cHGaQz0E7AU
In this video I explain the basics of Map Reduce model, an important concept for any software engineer to be aware of.
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.
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.
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
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