Cambridge, England, United Kingdom Software and Services

iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people. As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine mobile photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.

Description

You will leverage your research background and knowledge of image processing and computer vision to design, develop, and improve Apple imaging technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the latest developments in computer vision, machine learning, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple\'s products, specifically as they relate to our camera systems.

Minimum Qualifications

• Experience researching, developing, and implementing image processing algorithms
• Deep understanding of computational photography, camera optics, image formation and image rendering processes
• Good understanding of in-camera processing and machine learning
• Strong coding skills - preferably in Python and MATLAB

Preferred Qualifications

• Experience in productizing or publishing your research results in fields such as image processing, computer graphics, and color science
• Strong analytical and problem-solving skills