Machine Learning Research Engineer — Computer Vision/Computational Photography

Apple - Cupertino, CA

Full-time - Entry Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Research Engineer position focuses on computer vision and computational photography within the Camera Algorithms team at Apple. The role involves researching and developing innovative machine learning techniques to enhance image restoration and fusion applications, contributing to the advancement of Apple's camera technology. The engineer will collaborate with cross-functional teams to implement algorithms and bring new imaging technologies to market.

Responsibilities

• Contribute to algorithm design and implementation for camera imaging technology.
• Develop and train deep learning models for image restoration and fusion applications.
• 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 innovate in deep learning model design.

Requirements

• Strong coding skills in Python; experience in C/C++ is a 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, and familiarity with 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.