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Location
In office (Cambridge)
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 22, 2026. Apple scores A on the Alion truth index.

Overview
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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.

Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning.

As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description

In this position you will be responsible for pushing the boundaries of machine learning research. You will publish your results in top tier conferences and journal venues, making sure that your research results are reproducible and of high quality. You will collaborate with researchers to propose a research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.

Minimum Qualifications

Demonstrated expertise in machine learning research.

Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).

Hands-on experience working with deep learning toolkits such as PyTorch.

Strong mathematical skills in linear algebra and statistics.

PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

Ability to formulate a research problem, design, experiment, implement and communicate solutions.

Ability to work in a diverse collaborative environment.

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