Apple Inc.-posted about 2 months ago
Full-time
Sunnyvale, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on real time and low power world tracking and sensor calibration based on VIO, SLAM and ML solutions. We have contributed to the ARKit in both iOS and Vision OS devices. We are looking for a talented engineer to help us take our efforts to the next level. In this role, you will work together with similar minds in a unique research and development team where your skills and expertise will be put into the Apple products. This role is highly multi-functional and you will work very closely with various highly skilled software development / ML teams developing groundbreaking algorithms.You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple's best-in-class designers to ensure the products we ship are more than technical demos - they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.

  • core technology algorithm development in support of future user experiences
  • communicating with and supporting external teams that use our algorithms
  • supporting low-level, cross-platform efforts
  • participating in code reviews
  • being a constant advocate within the team for high quality results
  • MS or PhD in computer vision, machine learning, robotics, or related fields.
  • Understanding of visual inertial sensor fusion or general sensor fusion is a plus.
  • Experience in developing, training and tuning ML model related to the above areas is a plus.
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