职位描述：
Summary：
The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Are you up for the challenge?
Join the HWTE Computer Vision and Machine Learning (CVML) team and play a key role in shaping the future of Apple’s products! Our team develops innovative solutions for the inspection and metrology of displays across iPhone, iPad, Mac, Vision Pro, and upcoming products. As a ML Engineer, you will architect, develop, and deploy AIML-driven inspection solutions in manufacturing, working alongside some of the best engineers at Apple. Be among the first to witness the creation of Apple’s newest products!
Description：
You will be responsible for developing defect detection and automatic optical inspection of Apple products, with a focus to develop/ deploy AIML models, and optimize model inference on edge devices (CPU/GPU/ANE)
– Design, develop and optimize CVML based solutions for manufacturing inspection
– Implement the full machine learning lifecycle—from data collection and preprocessing to model development, deployment, and monitoring.
– Develop scalable ML software deployment pipelines across multiple projects and hardware platforms.
– Stay ahead of AI/ML advancements and integrate the latest into our technology roadmap
– Collaborate with cross-functional teams including optical instrumentation scientists, software engineers, and system design engineers to build inspection solutions.
– Analyze large amounts of data to qualify and improve algorithm/ models.
– Review and optimize algorithms developed internally and by third parties.
职位要求：
Minimum Qualifications：
MS/PhD in Computer Science, Electrical Engineering, Imaging Science.
Strong expertise in image processing and computer vision, such as feature extraction and representation, image registration, segmentation, distortion correction, image restoration, frequency domain analysis, change detection, image quality assessment, and 3D computer vision.
Hands-on experience in developing and deploying supervised and unsupervised machine learning models (e.g., CNN, GAN, AE, Transformer, Clustering, SVM) for defect detection, anomaly detection, image segmentation, classification, restoration.
Proficiency in C++, MATLAB, Python, Git, and deep learning frameworks such as Keras, TensorFlow, and PyTorch.
Strong written and verbal communication skills, with the ability to effectively collaborate across diverse teams.
Preferred Qualifications：
Experience with AIML models/ applications on edge devices.
Experience with HW optimization / GPU acceleration.
Knowledge of ML Dev Ops with scalable cloud platforms like AWS/GCP.
Experience in iOS development (Objective C/ Swift ).
Experience in SW modularization, scalability, unit/ regression testing.
Experience in modeling and characterization for imaging system.
A proactive attitude with the ability to explore uncharted technology spaces and deliver innovative solutions in a timely fashion.
招聘部门：
Apple Software and Services
工作地点：
Shanghai, Shanghai, China
面试建议：
Apple的机器学习工程师职位专注于计算机视觉和机器学习在制造检测中的应用，尤其是在边缘设备上的模型部署和优化。这一职位不仅要求深厚的算法开发能力，还需要在跨职能团队中协作，将最新的AI/ML技术整合到产品中。 为了准备这一职位的面试，你需要重点展示你在计算机视觉和机器学习领域的实际项目经验，特别是在缺陷检测和图像处理方面的能力。面试官很可能会深入询问你在边缘设备上部署和优化模型的经验，包括如何处理计算资源限制和性能优化。此外，准备讨论你如何与光学仪器科学家、软件工程师等跨职能团队合作，以及你如何保持对最新AI/ML技术的了解并将其应用到实际项目中。展示你的问题解决能力和创新思维，尤其是在面对未知技术挑战时的应对策略。
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