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ML - Data Scientist

Apple • Sunnyvale, CA, US • published 2026-11-06 00:59:38.635055

Description

Summary Do you want to decide whether a generative imaging feature is good enough to ship? Our team evaluates generative image and video features. These features reach a very large number of people on Apple devices. You will build the evaluation systems, human\-annotation programs, and automated metrics that turn "this looks better" into measurable, trustworthy quality signals. Those signals guide model development and release decisions. Description You'll own quality evaluation end to end — from evaluation set design through annotation, scoring, analysis, and the recommendations that shape what engineering and product build next. Your findings determine which models ship. What you'll do Build the measurement foundation. Design and maintain golden sets and evaluation sets, analyzing data distributions so results stay representative and known defects stay covered. Run human evaluation at quality. Write and iterate annotation guidelines and label schemas, build or adapt lightweight labeling tools for image and video review, monitor annotator quality, and resolve disagreements and guideline ambiguity. Automate the repeatable parts. Develop automated metrics and LLM\-as\-judge systems,...

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