Apple - Cupertino, CA

posted 14 days ago

Full-time - Entry Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The Camera Algorithms team at Apple is seeking passionate and self-driven computer vision/computational photography research engineers. The role focuses on innovating and collaborating with cross-functional teams to develop novel machine learning techniques for image restoration and fusion applications, contributing to the advancement of Apple's camera technology.

Responsibilities

  • Research and develop novel machine learning techniques for image restoration and image fusion applications.
  • Contribute to algorithm design and implementation.
  • Develop and train deep learning models.
  • Collaborate with cross-functional teams including camera hardware, firmware, GPU, and image quality teams.
  • Leverage knowledge of classical computer vision and computational photography techniques to build deep learning models.

Requirements

  • Strong coding skills in Python; experience in C/C++ is a big plus.
  • Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems.
  • Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques.
  • Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution).
  • Experience with deep learning frameworks like PyTorch or TensorFlow.

Nice-to-haves

  • MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields.
  • Excellent verbal and written communication skills.
  • Creativity and curiosity for solving complex problems.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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