The Applied Sensing & Health team develops software that powers the next generation of fitness, safety, and health experiences. We transform complex, multi-modal sensor data from the iPhone, Apple Watch, and AirPods into meaningful and elegant insights about our users' health, wellbeing, and safety. By combining advanced machine learning—including the integration and tuning of foundation models—with domain knowledge and scientific research, we have delivered impactful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and Walking Steadiness. As a dynamic and highly multi-disciplinary team working at the intersection of research and product development, you will have the opportunity to build the next generation of sensing-based features that will motivate, inform, and inspire millions of Apple's customers every single day.

In this role, you will implement and ship interactive software features and algorithms that impact millions of users on a daily basis. You will be responsible for optimizing software implementations for power, memory, and performance, especially within the constraints of embedded, low-power systems. Operating at the intersection of software, data engineering, and machine learning, you will collaborate closely with scientists, engineers, QA, and project managers throughout the software lifecycle.