Fitness Sensing AI/ML Lead - Sensing & Connectivity

Every day, millions of people check their iPhone and Apple Watch to understand their fitness — how hard they trained, how ready they are to go, how their body is adapting over time. The Fitness team within Applied Sensing & Health builds the AI and sensing technology behind that understanding. We apply foundation models, including large language models, and agentic AI workflows to motion, heart, and behavioral sensor data, turning raw signals into insights people can trust and act on every single day. This work has shipped as Readiness, Cardio Fitness, including the new Step Test Movement Evaluation, best-in-class Pedometer Step Counting, and many more.

We are a dynamic, collaborative group working at the intersection of scientific research, product development, and systems engineering. We build best-in-class AI/ML models, including the integration, adaptation, and tuning of foundation models on multimodal sensor data, and the agentic workflows that accelerate how we build and validate them. We're looking for a deeply technical, passionate leader to help set the technical direction for fitness sensing. The right person is equally at home as a hands-on senior contributor and as a mentor and informal lead for other scientists and engineers. If this is you, we'd love to hear from you.