Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about the integrity of the data that powers AI systems at scale? Do you believe that trustworthy data is the foundation of every great model? We truly believe it is!
We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep our data ecosystem healthy — ensuring that every model we build is trained, evaluated, and deployed on data we can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users.
You'll work at the intersection of machine learning, statistical rigor and production systems, collaborating closely with Data Engineering, Privacy, and Legal teams. This unique opportunity puts you at the center of ML and AI quality — owning the health of training and validation datasets, defining and analyzing observability metrics, building models to calibrate & measure robustness, and leading telemetry analysis across GenAI workflows — ensuring Apple's financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems.
