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Location
In office (Cambridge)
Seniority
Senior
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state-of-the-art privacy-enhancing technologies for measurement and machine learning. We're looking for talented engineers to join us in this work.

Description

We are looking for an experienced software engineer to join our team and help us improve privacy-preserving technologies to Apple's products.

Minimum Qualifications

Strong hands-on experience in software development, with proficiency in one or more programming languages such as Python, Swift, C++.

Industry experience of iOS development, or experience of development on other embedded systems.

Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company.

A track record of delivering large-scale software systems from ideation and design through production deployment and operation.

Preferred Qualifications

Proven industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.

Passion for protecting customer privacy.

Experience with on-device development.

Experience with privacy enchancing technologies such as differential privacy, multi-party computation, trusted execution environment, private federated learning, homomorphic encryption.

Familiar with or exposure to machine learning model post-training, evaluating, and inference.

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