Machine Learning Research Engineer, Camera & Photos

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 computational photography, optimization methods, statistics, 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 image processing 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 and reimagine the photography experience, we would like to hear from you.

Description

You will leverage your research background and knowledge of image processing, statistics 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, computational photography, and machine learning, 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 and machine learning algorithms
Deep understanding of image processing techniques, statistics and optimization algorithms
Strong coding and prototyping skills - preferably in Python and MATLAB
Experience in productizing or publishing your research results in fields such as image processing, computer vision, computer graphics, and color science

Preferred Qualifications

PhD in Computer Science or a related field (Mathematics, Physics), ideally with a focus on or related work in imaging, computer vision, or machine learning
Good understanding of in-camera processing
Familiarity with object-oriented programming languages such as C++ or Objective C
Familiarity with algorithm performance optimization and parrallelization for instance on GPUs
Ability to work with cross-functional teams
Strong analytical and problem-solving skills
Excellent written and verbal communication skills