盒马盒马-图像算法专家-杭州
社招全职4年以上技术类-算法地点:杭州状态:招聘
任职要求
1、具有扎实的机器学习基础,能够综合运用各类算法实现特定功能,在Diffusion Model、GAN、VAE、Lora、ComfyUI、图像及视频生成/编辑、多模态内容理解等至少一个领域有开发经验的优先;数理功底扎实,自学能力强; 2、工程能力强,熟练掌握Python/C++语言,有成功的项目经验;熟悉常见的机器学习和深度学习算法,熟练使用至少一种深度学习框架,如Pytorch、TensorFlow、MXNet等; 3. 对Transformer、预训练模型有一定深度的理解和经验,能根据论文复现相关算法,有大规模预训练模型研发和训练经验者优先;高质量相关论文ACL,EMNLP,COLING,NAACL作者优先。
工作职责
1、负责公司产品的智能广告创意,探索应用 DiffusionModel, GPT,Qwen,CV/NLP 在营销场景/短视频领域实现对广告文案、视频、图片等素材进行内容理解并高质量生成投放竞争力素材; 2、追踪业界创意、多模态及Generative AI方向最新技术,落地应用并提升广告创意理解、自动生成和优化等场景的效果。 3. 探索和实施生鲜垂直类行业下的AIGC营销素材生产工作流,从预训练到微调再到强化学习,共同构建更高效智能的营销设计生产范式。
包括英文材料
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.
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/
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
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
MXNet+
https://www.tutorialspoint.com/apache_mxnet/index.htm
Apache MXNet is a powerful deep learning framework that supports both symbolic and imperative programming.
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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