Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep the data ecosystem healthy for Apple’s AI and ML features.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines
Own the health of training and validation datasets
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data quality for AI/ML models across Apple’s Wallet, Payments, and Commerce products.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Own the health of the data ecosystem that underpins ML and GenAI features
Build validation frameworks and observability metrics
Lead telemetry analysis for model performance and data drift
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data integrity for machine learning models across Wallet, Payments, and Commerce.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines.
Own the health of the data ecosystem that underpins ML and GenAI features.
Building and maintaining intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines for ML data quality across Wallet, Payments, and Commerce.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines
Own the health of training and validation datasets
Machine Learning Engineer - Risk Scoring & Model MonitoringChiri · South America
Machine Learning Engineer, AI/ML Model QualityApple · Austin, US+3 more