Applied Sensing & Health Machine Learning Scientist

The Applied Sensing & Health team at Apple has built innovative ways for users to improve their health and monitor their lives through motion-based technologies on their devices. This team combines machine learning, signal processing, innovative study design, and expertise in biomechanics and biomedical sciences to deliver important features like Fall Detection, Workout Fitness Metrics, Walking Steadiness, and the Apple Heart and Movement Study.

As an Applied Sensing & Health Machine Learning Scientist, you will work on motion health technologies. Your responsibilities will include:

• Collecting and analyzing data for prototype feature development in specialized mobility labs
• Designing, implementing, and maintaining algorithms and APIs for iOS and watchOS on embedded systems
• Optimizing implementations for power, memory, and performance
• Coordinating closely with multidisciplinary teams across the company
• Working with scientists, engineers, QE, and project managers throughout the software lifecycle to deliver best-in-class secure and scalable systems

You will help ship interactive features that impact millions of users daily. The ideal candidate takes responsibility, demonstrates creativity and initiative, works well with deadlines, and feels a personal stake in the product. You should thrive in uncertainty, build strong relationships, and constantly look to improve yourself and your team.

This role offers the opportunity to work at the intersection of scientific research and product development, delivering science-backed designs of best-in-class motion algorithms that capture even the subtlest of human movements to empower customers to better understand their movement health.