Apple-posted 2 months ago
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 team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users. We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.

  • Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
  • Collaborate with others to drive requirements and validation tests to ship models.
  • Take a practical approach to problem solving and adapt to an evolving environment.
  • Deliver clean, modular, testable algorithm code.
  • Communicate and work effectively with cross-functional partners.
  • MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
  • Comprehensive understanding of diffusion models, transformers and auto-encoders.
  • Capable of making well-informed and practical decisions in a rapidly evolving environment.
  • Excellent communication and experience working with multi-functional teams.
  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
  • Good software engineering skills and proficiency in C/C++.
  • Highly-motivated and take initiative to achieve goals, while delivering on schedule.
  • Sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.
  • Works well in a collaborative setting.
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