小米顶尖应届-大模型图像算法工程师-相机
校招全职地点：北京状态：招聘
任职要求
1. 计算机相关专业博士学历，图像处理、模式识别、计算机视觉、人工智能、大模型等相关方向； 2. 熟练掌握大模型开发模式，对强化学习、大模型业务转化有深入理解和实际经验； 3. 熟悉基础画质、场景理解等影像基础，了解ISP或者图像后处理算法，如去噪、超分、HDR、人像bokeh等； 4. 熟练使用Tensorflow、Pytorch等深度学习框架，熟练掌握及理解CLIP、SD、FLUX常见视觉相关大模型，精通模型蒸馏、剪枝模型小型化技术； 5. 熟练掌握C/C++/Python等常用编程语言，熟练使用Linux，Git，Cmake等开发工具； 6. 了解传统计算机视觉的基本理论及方法者优先录取， 在计算机视觉顶会、顶刊发表相关论文或取得优异比赛成绩者优先录取。
工作职责
1. 参与领域大模型相关技术的调研验证； 2. 参与手机相机影像相关算法研发工作，开发行业领先的影像大模型算法； 3. 参与手机相机视觉相关功能研发，交付落地旗舰机； 4. 研究行业动态，紧跟视觉/多模态大模型相关领域最新学术研究成果并转化成商用技术； 5.参与学术研究，产出具备行业影响力的科研成果。 【课题名称】 影像大模型研发 【课题内容】 1. 影像领域基础模型的研发； 2. 基于大模型的端到端影像系统研发； 3. 基于大模型影像功能算法的研发； 4. 基于大模型的图像理解、感知算法的研发; 5. 大模型小型化技术探索及研发。
包括英文材料
学历+
图像处理+
https://opencv.org/blog/computer-vision-and-image-processing/
This fascinating journey involves two key fields: Computer Vision and Image Processing.
https://www.geeksforgeeks.org/python/image-processing-in-python/
Image processing involves analyzing and modifying digital images using computer algorithms.
https://www.youtube.com/watch?v=kSqxn6zGE0c
In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python!
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
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.
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
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
Image Signal Processor+
https://github.com/mikeroyal/ISP-Guide
Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
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/
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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
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.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
Git+
https://www.youtube.com/watch?v=rH3zE7VlIMs
Learn Git from start to finished in this full course written by ThePrimeagen.
相关职位
校招
1. 参与领域大模型相关技术的调研验证； 2. 参与手机相机影像相关算法研发工作，开发行业领先的影像大模型算法； 3. 参与手机相机视觉相关功能研发，交付落地旗舰机； 4. 研究行业动态，紧跟视觉/多模态大模型相关领域最新学术研究成果并转化成商用技术； 5. 参与学术研究，产出具备行业影响力的科研成果。 【课题名称】 影像大模型研发 【课题内容】 1. 影像领域基础模型的研发； 2. 基于大模型的端到端影像系统研发； 3. 基于大模型影像功能算法的研发； 4. 基于大模型的图像理解、感知算法的研发; 5. 大模型小型化技术探索及研发。
更新于 2025-06-25
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1. 负责相机画质算法的研发和优化，包括但不限于图像处理、降噪、锐化、超清等方面； 2. 参与相机软硬件系统的设计和开发，提升相机画质表现； 3. 负责相机画质算法的性能测试和模型/方案优化，提高算法效率和稳定性； 4. 跟踪业界最新的相机画质算法技术，包括DeepISP、diffusion大模型等，不断优化和改进公司的相机画质表现。 【课题名称】 拍照解析力生成算法 【课题内容】 1. 研发基础倍率/变焦模式下的纹理细节生成算法； 2. 研发transformer网络做去噪/超分任务的落地方案； 3. 研发运动/失焦deblur、纹理收边、细节增强等拍照后处理算法； 4. 探索图像大模型的小型化落地方案，以及训练数据生成方案。
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1. 负责相机画质算法的研发和优化，包括但不限于图像处理、色彩还原、影调压缩等方面； 2. 参与相机软硬件系统的设计和开发，提升相机画质表现； 3. 负责相机画质算法的性能测试和模型/方案优化，提高算法效率和稳定性； 4. 跟踪业界最新的相机画质算法技术，包括DeepISP、diffusion大模型等，不断优化和改进公司的相机画质表现。 【课题名称】 影调增强算法研发 【课题内容】 1. 高动态范围成像算法研发； 2. 图像重打光、影调映射算法研发； 3. 图像恢复、增强、修复等低层视觉算法研发； 4. 基于深度学习的SoftISP算法研发； 5. 基于大模型的影调算法研发。
更新于 2025-06-25