
美图高级视频算法工程师 - AIGC视频生成
社招全职5年以上算法类地点:北京状态:招聘
任职要求
· 计算机相关专业本科及以上学历,5年以上算法研发经验,有完整参与算法项目从设计到上线全流程的实践经历; · 掌握Transformer、DiT、Diffusion、CNN等深度神经网络模型原理,具备实际项目应用经验,对机器学习与图像、视频处理算法有系统性理解; · 熟练使用PyTorch或TensorFlow等深度学习框架,具备扎实的算法实现能力,熟悉模型压缩、量化、部署等性能调优常用手段,能独立承担复杂算法模块的开发与优化; · 具备较强的分析与问题定位能力,能熟练阅读并理解领域内英文技术文献或论文,从中提炼可落地的技术思路; · 具备良好的沟通与协作素养,能够在跨职能团队中高效协同,共同攻克技术难点。 加分项: · 有视频内容理解、视频生成、文生图或多模态大模型相关项目的研发与落地经验; · 在CVPR、ICCV、ECCV等计算机视觉领域顶级会议上以第一作者或共同作者身份发表过论文。 Senior Video Algorithm Engineer – AIGC Role Overview: As a Senior Video Algorithm Engineer on the AIGC team, you will research and develop core algorithms in multi-modal content understanding and intelligent video creation, delivering technical solutions that power Meitu’s global imaging products. You’ll work at the intersection of computer vision, generative models, and large-scale deployment, helping shape how millions of users create and interact with visual content. Key Responsibilities: · Drive research, development, and continuous optimization of advanced algorithms for multi-modal content understanding and intelligent video editing within the AIGC project team; · Translate algorithmic advances into product-ready features, ensuring efficient deployment and measurable product impact. Requireme…
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工作职责
关于本岗位: 我们正在组建聚焦AIGC落地的算法团队,探索多模态内容理解与视频智能剪辑的前沿技术。你将深度参与从算法预研到产品化交付的全过程,直接推动影像创作工具的进化,让算法能力转化为用户可感知的创作自由。 岗位职责: · 负责多模态内容理解与视频智能混剪算法的研发和迭代,持续提升模型对视频语义、节奏和审美偏好的理解能力,驱动剪辑效果的智能化和个性化; · 协同工程与产品团队,将算法方案从验证转化为可上线部署的服务能力,确保模型在生产环境中的性能、稳定性与推理效率满足业务要求; · 跟踪并评估AIGC领域的前沿进展,针对产品中长期需求完成技术预研与可行性验证,为关键模块的架构演进提供方案支撑。
包括英文材料
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/
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.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
深度神经网络+
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world.
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.
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.
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