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Apple Linkedin · Posted 5d ago

Computer Vision/Machine Learning Engineer

Switzerland

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Indexed description

Summary
The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundary of human perception and machine intelligence.

Description
In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world.

Minimum Qualifications

  • Excellent background in machine learning and experience on turning concepts into state of the art systems able to deal with the complexity of the real world.
  • Solid foundation in computer vision, and in particular 3D geometric computer vision and/or activity detection and recognition.
  • Strong programming and system building skills.

Preferred Qualifications
  • PhD in computer vision or machine learning; alternatively a comparable industry experience delivering products that use state-of-the-art computer vision/machine learning techniques.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200671129-4170

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