Machine Learning Research Engineer, Camera Software

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 advanced 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. nnAs part of the Camera and Photos organization our team in Cambridge works on camera pipelines specifically for Apples mobile devices including the iPhone and iPad. Combining innovative algorithms with optimized implementations we deliver the quality and features that help redefine computational photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience we would like to hear from you.n

You will leverage your research background and knowledge of image processing and machine learning to design develop and improve Apple imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning computer vision and computational photography 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 algorithmsnExperience training and working with generative models nStrong coding skills - preferably in Python including ML-frameworks and libraries such as PytorchnExperience in productizing or publishing your research results in fields such as machine learning image processing and computer graphicsn

PhD in Computer Science or a related field (mathematics or physics) with a focus on or related work in machine learning computer vision or imagingnGood understanding of in-camera processingnStrong mathematical and statistical analysis background nFamiliarity with object-oriented programming languages such as C or Objective CnAbility to work with cross-functional teamsnStrong analytical and problem-solving skillsnExcellent written and verbal communication skills