As a Manufacturing Supervising Engineer, you will lead efforts to drive process stability and reduce variation to support the area’s OEE (Overall Equipment Effectiveness) targets. You will identify and resolve issues across man, machine, method, and materials, and lead plant teams in developing process improvements in safety, quality, efficiency, and cost.
Responsibilities
Identify and eliminate causes of scrap, rework, and downtime using tools like Pareto, 5-Why, KT, DMAIC, SPC, and distribution analysis
Ensure operator instructions are clear and visual when needed
Participate in standardization activities and sustain best practices
Use problem-solving techniques such as FMEA and DOE to implement solutions
Lead and coach production personnel, evaluating skills and driving performance to meet quality and OEE goals
Requirements
Bachelor’s degree in an engineering discipline (Mechanical, Process, or Industrial Engineering preferred)
Nice to have: 1 year of prior supervisory or management experience
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
Pasting SupervisorNewClarios · Winston-Salem, US
Machine Learning Engineer, AI/ML Model QualityApple · Austin, US+3 more