Loading
A
Machine Learning Research Engineer, Camera Software
AppleCambridge, England, United Kingdom
Apply 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 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.
As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically 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 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.
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 Apple's products, specifically as they relate to our camera systems.
- Experience researching, developing, and implementing image processing and machine learning algorithms
- Experience training and working with generative models
- Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch
- Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics
- PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging
- Good understanding of in-camera processing
- Strong mathematical and statistical analysis background
- Familiarity with object-oriented programming languages such as C++ or Objective C
- Ability to work with cross-functional teams
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills