京东算法开发专家
社招全职算法开发岗地点:北京状态:招聘
任职要求
1.教育背景:计算机科学、电子工程、数学或相关领域硕士及以上学历,具备扎实的数学和计算机基础; 2.专业技能:精通计算机视觉基本理论与算法,有深度学习、图像处理、模式识别等相关领域的项目经验; 3.模型部署能力: 有边缘侧深度学习模型部署经验,熟悉C++,了解cuda,模型量化。 符合京东价值观:客户为先、创新、拼搏、担当、感恩、诚信。
工作职责
1.算法研究与开发:深入研究计算机视觉领域的最新算法和技术,如深度学习、卷积神经网络(CNN)、目标检测、图像分割、姿态估计、视频处理等,并应用于实际项目中; 2.系统设计与实现:参与计算机视觉相关系统的架构设计,包括算法模块的设计、开发、测试与优化,确保系统的高效性、稳定性和可扩展性; 3.数据处理与分析:处理大规模图像和视频数据,进行数据清洗、标注、特征提取等预处理工作,为模型训练提供高质量的数据集; 4.模型训练与优化:使用TensorFlow、PyTorch等深度学习框架训练模型,对模型进行调优,提升识别准确率、处理速度和鲁棒性。
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.
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.
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.
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
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
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