Computer Vision Engineer, Machine Learning

2 Months ago • All levels • Research Development • $175,800 PA - $264,200 PA

Job Summary

Job Description

The iPhone Operations Data Team at Apple is seeking a Machine Learning Engineer specializing in Computer Vision and Deep Learning. This role involves crafting, designing, and implementing machine learning strategies for the iPhone, Mac, and iPad supply chains. The engineer will develop and deploy scalable computer vision and machine learning algorithms on local and cloud-based platforms, prototype algorithms for intelligent visual inspection in manufacturing, and collaborate with cross-functional teams. The ideal candidate should be able to independently learn new technologies, prioritize tasks, and present results clearly.
Must have:
  • Develop and deploy scalable Computer Vision and Machine Learning algorithms.
  • Design algorithms for challenging real world manufacturing problems.

Job Details

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand at Apple. The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms. Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection. Work with resources in cross-functional teams and the factory to integrate ML applications. Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner.

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