Summary

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, statistical and optimization methods, and machine learning techniques. 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 signal and image processing and statistical analysis methods to design, develop, and improve Apple imaging technologies. We will partner you with a dedicated mentor who is an experienced member of our team. You and your mentor will collaborate to design and implement an innovative solution that aligns with the team’s on-going and future projects. At the end of your internship, you will have the chance to meet and present your work to the leadership in our organization.

Minimum Qualifications

Experience researching, developing, and implementing advanced image processing algorithms and statistical models
Deep understanding of image processing techniques and optimization algorithms
Excellent coding skills, preferably in Python and MATLAB
Post-graduate student in computer science, applied mathematics, physics, machine learning or a related subject

Preferred Qualifications

Excellent analytical and problem-solving skills
Experience collaborating with multidisciplinary research teams
Excellent written and verbal communication skills
Familiarity with object-oriented programming languages such as C++ or Objective C

Machine Learning Research Intern

Camera Software

Apple

Summary

Description

Minimum Qualifications

Preferred Qualifications