小米影像算法工程师实习生
实习兼职地点:北京状态:招聘
任职要求
1、硕士及以上学历优先,计算机视觉、图像信号处理、机器学习、模式识别、光学、图像传感器、颜色科学、计算机科学/工程、电子工程、应用数学等相关专业; 2、一定的图像视频算法实践经验,扎实的数学功底,对图像/视频相关的深度学习或传统算法有深入的理解,或有突出的学术成绩;熟悉相机3A算法或IS…
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工作职责
1、相机拍摄图像(视频)处理、增强等领域的深度学习或传统算法研发工作; 2、结合产品需求,参与算法的设计、开发、验证、集成、优化和维护,解决算法产品化过程中的各种技术问题,确保算法达到上线要求; 3、跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平;
包括英文材料
学历+
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.
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.
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.
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.
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相关职位
实习
1、相机拍摄图像(视频)处理、增强等领域的深度学习或传统算法研发工作; 2、结合产品需求,参与算法的设计、开发、验证、集成、优化和维护,解决算法产品化过程中的各种技术问题,确保算法达到上线要求; 3、跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平;
更新于 2025-09-22北京
实习
1、跟进业界 AIGC(SD、GAN、LLM等)在图像生成、编辑、理解等方向的前沿进展,探索图像、文字、视频等多模态生成与编辑技术; 2、负责手机相册场景下的图文生成、图像画质增强、图像超分、风格迁移、可控编辑、长尾数据合成、幻觉抑制等 AIGC 相关算法的设计与优化; 3、参与 Camera 拍照、视频等图像相关算法的研发与异构部署工作,包括但不限于 3A、画质、人像算法、多模态理解算法等; 4、结合业务场景,提出具有通用性或定制化的算法解决方案,推动算法在实际产品中的落地; 5、参与大规模模型的训练与部署,持续优化模型性能与推理效率,提升整体用户体验; 6、持续进行算法创新,解决关键问题,提升团队整体技术能力。
更新于 2025-07-06杭州