Apple（上海）招聘计算机视觉和机器学习工程师

2020 年 11 月 28 日 CVer

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Computer Vision/Machine Learning Engineer

工作地点：中国上海（Shanghai）

简介（中英文）

成为光学工程/机器视觉团队的一员！我们为iPhone，iPad，Mac和未来产品的显示器，摄像头和触摸技术的计量定制了解决方案。在此职位上，您将设计和开发基于计算机视觉（CV）和机器学习（ML）的解决方案，用于在批量生产中对显示器和摄像机进行自动光学检查和校准。成为世界上亲眼目睹首次制作新Apple产品的人之一！

Be a part of the Optical Engineering/ Machine Vision team! We build customized solu- tions for the metrology and characterization of display, camera and touch technology for iPhone, iPad, Mac, and future products. In this role, you will design and develop com- puter vision (CV) and machine learning (ML) based solutions, for automatic optical in- spection and calibration of displays and cameras in large volume manufacturing. Be one of the first people in the world to witness new Apple products being crafted for the first time!

岗位要求（中英文）

3年以上相关专业经验；
在图像处理和计算机视觉方面的丰富知识和实践经验，包括空间/频域分析，几何变换，特征检测，配准，分割，目标检测和分类等；
有监督和无监督机器学习的经验，例如用于图像分割/分类的SVM，CNN，GAN；
精通以下一项或多项：C++ / Python / Matlab / OpenCV / CUDA；
精通至少一种机器学习框架：Keras / Pytorch / TensorFlow等；
积极涉足未曾涉足的技术领域并努力工作以及时提供解决方案；
优秀的写作和人际交往能力；与不同的团队进行清晰的沟通。

3+ years of related professional experience;
Deep knowledge and hands on experience on image processing and computer vision, including spatial/frequency domain analysis, geometric transform, feature detection, registration, segmentation, object detection and classification, etc;
Experience of supervised and unsupervised machine learning, such as SVM, CNN, GAN, for image segmentation/classification;
Proficient in one or more of the following: C++/Python/Matlab/OpenCV/CUDA;
Proficient in at least one machine learning framework: Keras/ Pytorch/TensorFlow, etc;
A positive outlook towards stepping into uncharted technology space and working hard to deliver solutions in a timely fashion;
Excellent written and interpersonal skills; clear communication with diverse teams.

岗位描述（中英文）

您将与一群有才华的工程师和科学家直接负责开发Apple产品的自动光学检查和校准。

设计，开发和优化基于CV和ML的解决方案，用于自动光学检查和校准；
与光学仪器科学家，软件工程师和系统设计工程师紧密合作，为Apple产品开发和部署适合大规模生产的计量解决方案；
与跨职能团队合作定义度量范围和校准规范。在新产品推出（NPI）周期内开发并验证相应的CV / ML算法；
研究并改进计量算法与视觉检查相关性。
分析大量NPI数据以限定/升级算法设计；
审查跨职能团队和第三方的算法。

You will be directly responsible for developing automatic optical inspection and calibration of Apple products, with a team of talented engineers and scientists. ▪︎ Design, develop and optimize CV and ML based solution, for automatic optical inspection and calibration; ▪︎ Collaborate closely with optical instrumentation scientists, software engineers and system design engineers, to develop and deploy mass-production friendly metrology solutions for Apple products; ▪︎ Work with cross-functionally teams to define metrology coverage and calibration specifications. Develop and validate corresponding CV/ML algorithm during new product introduction (NPI) cycle; ▪︎ Study and improve metrology algorithm vs visual inspection correlation.; ▪︎ Analyze large amounts of NPI data to qualify/upgrade algorithm design; ▪︎ Review algorithms from cross functional teams and third parties.

教育和经历（中英文）

CE/EE/图像方向的硕士/博士

MS/PhD in CS/EE/Imaging Science

简历投递

如果你想投递简历，那么可以直接点击阅读原文，或者打开下面网址即可投递：

https://jobs.apple.com/zh-cn/details/200207677/computer-vision-machine-learning-engineer?team=HRDWR

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