SummaryPosted: Nov 22, 2024Weekly Hours: 35 Role Number:200580245Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple products. We are offering amazing internship opportunities to work directly with our multi-disciplinary R&D team in Cambridge, UK. Collaborate with some of the best in the business and see how we create the world's most innovative products and experiences. DescriptionDescriptionOur aim is to create an experience that allows you to learn without pressure, gain practical skills, build real world experience, develop a greater understanding of our industry and form valuable connections. You will join an extraordinary team, including world-class software engineers, image processing experts and image quality leaders who are all focused on delivering the perfect image and story to customers. 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 software solution in relation to the team’s short or medium term goals. At the end of your internship, you will have the chance to meet and present your work to the Camera+Photos leadership. Minimum QualificationsMinimum QualificationsPost-graduate student studying computer science, applied mathematics or related subjectFamiliarity with object-oriented software design and programmingProficiency in more than one programming language, such as Python, C++ or Swift.A degree in computer science, statistics, applied mathematics or related field. Enrolled in a PhD or Masters programme or equivalent.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience working in agile software development teams and interest in machine learning and data-driven applications is desirable.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore