Machine Learning Research Engineer, Camera & Photos

iPhone is equipped with the worlds most popular camera system delivering magical experiences that continue to surprise and delight our customers. The Camera u0026 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. nnAs part of the Camera and Photos organization our team in Cambridge works on image processing pipelines and innovative algorithms for Apples 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.n

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 Apples products specifically as they relate to our camera systems.n

Experience researching developing and implementing image processing and machine learning algorithmsnDeep understanding of image processing techniques statistics and optimization algorithmsnStrong coding and prototyping skills - preferably in Python and MATLABnExperience in productizing or publishing your research results in fields such as image processing computer vision computer graphics and color science

PhD in Computer Science or a related field (Mathematics Physics) ideally with a focus on or related work in imaging computer vision or machine learningnGood understanding of in-camera processing nFamiliarity with object-oriented programming languages such as C or Objective CnFamiliarity with algorithm performance optimization and parrallelization for instance on GPUs nAbility to work with cross-functional teamsnStrong analytical and problem-solving skillsnExcellent written and verbal communication skills