ML Data QA Lead, MLO
Cupertino
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Job description
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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Cupertino
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- First seen by us
- Aug 18, 2026
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- Oct 9, 2026
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