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Salary
≈ $175k – $380k per year (Estimated)
Location
In office (Cupertino)
Seniority
Staff
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H-1B filings in 12 months: 6,350 · for this role: 217 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Aug 18, 2026.

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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.

Do you believe Machine Learning and AI can change how people experience technology? We truly believe it can! We are the Machine Learning Data Ops Team, part of the Intelligent System Experience (ISE) group within Apple's software engineering organization. We build high-quality ML datasets at scale to train the models that power AI-centric features across iPhone, iPad, Mac, Apple Watch, and AirPods. Those features include Apple Intelligence, recognizing the people you love in your Photos app, and the input experiences you rely on every day such as autocorrect, next-word prediction, and handwriting recognition. Data is the source code of these models, and its quality determines whether a feature works beautifully for everyone or only for some.

We are looking for a talented individual to drive data quality assurance for the ML features we support, working closely with our Data Program Managers, Data Engineers, and R&D partners to ensure that the data delivered to R&D meets Apple's rigorous quality standards. This is a role for someone who is both a rigorous quality thinker and hands-on with the tooling, using AI to build new QA capabilities and extend what we already have.

We invite you to join us at this exciting time and positively impact multiple critical features from your first day at Apple.

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