The Health Sensing Machine Learning Interpretability & Analytics (MLIA) team ensures clinical rigor and contextual trust are at the foundation of Apple’s health sensing features. We are looking for an exceptional ML Engineer to help us build the next generation of scalable evaluation infrastructure and lead rigorous investigations into model performance. You will develop cutting-edge tools, synthetic data pipelines, and automated frameworks that ensure our health features are mathematically sound, demographically equitable, and clinically safe. If you are passionate about AI safety, robust software architecture, and pushing the boundaries of ML innovation, come join us!
Posted 2mo ago
Machine Learning Engineer - AI & ML Evaluation Frameworks
Apple
Cupertino, California, United States
OnsiteFull Time
Responsibilities
- building infrastructure
- developing tools
- leading investigations
Requirements
- Experience building scalable ML evaluation infrastructure
- Synthetic data pipelines, and automated frameworks
- Strong software architecture
- ML interpretability, and AI safety knowledge
- Excellent analytical and communication skills
Job description
About Apple
Designs and sells consumer electronics, software, and online services.
Year founded
1976
Employees
166000
Industries
Activities
Organization type
Public
Headquarters
US
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