荣耀图像算法工程师
社招全职研发类地点：深圳状态：招聘
任职要求
1、人工智能、计算机、计算摄影、光学光电、电子、信号与信息处理、模式识别、生物医学工程、自动化、数学等专业本科以上学历； 2、熟悉常见的图像/视频处理、计算机视觉、模式识别、深度学习等算法； 3、具备扎实的编程实现能力，熟练使用C/C++、Python/Matlab等编程语言。掌握TensorFlow、PyTorch、Keras等至少一种深度学习框架； 4、熟悉Android图形显示系统、手机ISP成像链路，或者发表过图像/视频相关论文/专利者优先；
工作职责
1、从事媒体领域，包括：图像/视频相关领域业界先进技术及发展趋势洞察、算法的研究创新、评测及工程化落地，实现公司在媒体领域的技术竞争力领先； 2、负责图像理解、图像增强、视觉等传统或AI系统方案设计、算法开发、工程化落地，构建智能手机、平板等产品在图像、视频等领域的核心竞争力； 3、独立承担图像算法的调研、设计工作，完成关键算法的开发、产品交付及验证； 4、调研和跟踪高校、第三方公司在图像/AI等算法方向的技术发展趋势，推进技术合作。
包括英文材料
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.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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/
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.
MATLAB+
https://matlabacademy.mathworks.com/?page=1&sort=featured
Learn MATLAB and Simulink through interactive, in-product exercises
https://www.mathworks.com/help/matlab/getting-started-with-matlab.html
Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world.
https://www.youtube.com/watch?v=7f50sQYjNRA
Learn the fundametnals of MATLAB in this tutorial for engineers, scientists, and students.
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.
Keras+
https://keras.io/getting_started/intro_to_keras_for_engineers/
Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably.
Android+
https://roadmap.sh/android
Step by step guide to becoming an Android developer .
https://www.youtube.com/playlist?list=PLQkwcJG4YTCSVDhww92llY3CAnc_vUhsm
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.
相关职位
社招技术类
1、负责电商平台商品内容理解所需的相关图像/视频算法研发； 2、优化同款商品/相似图片、图片分类等业务模型； 3、负责检测、分类、分割、AR/slam算法研发和服务。
更新于 2025-03-31
社招2年以上
职位名称： 职位描述（JD）： 我们正在寻找一位富有激情和创新精神的图像算法工程师，加入我们充满活力的团队。作为图像算法工程师，你将负责研发和优化图像处理算法，并致力于将最新技术应用于我们的产品中。 岗位职责 1、研发视觉算法，与各类技术专家共同探索计算机视觉、AIGC、多模态、人工智能等前沿技术，并推动其在业务中的应用，实现业务增长。 2、根据业务场景，设计并预先研究简洁的技术方案。 3、负责图像生成、智能编辑算法相关产品的研发，如图像矫正、图像高清增强、图像美化/去噪/修复、图像文本识别等，涉及的技术包括但不限于图像检测、识别分割、超分、合成、多模态等。 4、负责算法的研发、实施及效果优化，解决算法在实际应用中可能遇到的优化问题，包括模型加速、压缩及效果提升等，确保CV算法成功应用于实际场景中。 5、积极研究前沿计算机视觉技术，结合公司未来业务需求，开发领先算法，短期实现技术突破并长期对公司业务产生积极影响。
更新于 2024-01-09
社招
1、负责在交通行业内落地业界前沿的视觉算法：包括但不限于：人脸识别、车票文字OCR、图像理解等方向。推荐预测算法：包括但不限于延误预测、放票规则预测、出行方案推荐等。 2、负责业务环节中图像相关应用问题的需求发掘，设计，技术研发，以及推动上线落地和不断迭代优化。 3、跟踪前沿的算法理论，并且将优秀的算法应用到业务场景中，提升业务效果。
更新于 2023-02-15
校招技术开发类
负责公司图像处理算法的探索研究与技术方案的实现，具体工作内容如下： 1、根据公司现有业务需求，完成图像相关业务处理方案的验证与落地应用； 2、根据公司业务类型，挖掘图像算法在不同业务场景中的应用； 3、负责图像算法前沿技术的研究、复现及应用验证； 4、基于公司提供的业务平台，能够与部门一起，完成更为有趣、更有价值的技术探索。
更新于 2022-08-08