Apple designs electronic devices, operating systems and digital services including iPhone, Mac and App Store.
Camera Software (Intern)
The internship on Apple’s Camera Software team in Cambridge focuses on developing software and tools to improve image quality in cameras. You will explore how software development and machine learning can intersect, with possible applications on future devices. The role is for students studying computer science, physics, mathematics, electronic engineering, or a similar field who will return to their studies after the internship.
Information about Apple
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- apple.com
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Job details
The full description published by Apple.
Apple's Camera Software team in Cambridge is looking for graduate-level students interested in diving into the world of camera software and machine learning at Apple. As part of the team you will research and develop software, tooling and testing infrastructure to improve the image quality of Apple's cameras. The Camera Software team in Cambridge works across the camera imaging stack, shipping impactful work to millions of our customers.
The team works closely with many other teams, including camera hardware and software teams, algorithm designers and image quality experts, to deliver industry-leading consumer imaging devices. The work environment fosters innovation, rapid iteration and awards independence and creativity in solving engineering problems As an intern you will be responsible for investigating how modern software development and machine learning can intersect with high-reliability software delivered to millions of devices.
You will work with the team to identify a suitable project in the areas of image quality and the camera software framework, and then work to deliver a robust solution, possibly working towards practical implementation on future devices.
Strong software development experience and interest, preferably Objective C, C++ or equivalents An understanding of the inner workings of a modern digital camera and the Image Signal Processor (ISP) Practical experience with machine learning and deep learning algorithms Working knowledge of Python and ML libraries (Tensorflow, Pytorch) Familiarity with imaging algorithms, for example: auto white balance, tone mapping, denoising, auto exposure and auto focus Strong problem solving and interpersonal skills Currently enrolled in a degree studying: Computer Science/Physics/Maths/Electronic Engineering or similar field and you will be returning to education after the internship concludes.
Requirements
- Currently enrolled in a degree in computer science, physics, mathematics, electronic engineering, or a similar field
- Returning to education after the internship
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