The Applied Sensing u0026 Health team has built innovative ways for users to improve their health, watch for their lives, and get personalized insights from their daily patterns through multimodal sensing and AI models. This team combines advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights spanning health, fitness, and safety. This has enabled us to deliver meaningful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and our latest advances to bring our suite of Fitness metrics to AirPods Pro 3, delivering 50 workout types in a single year. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We develop science-backed designs of best-in-class AI/ML models that capture the multifactorial nature of human health and behavior, delivering insights straight to our customers. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.In this role, you will be highly involved in driving design data quality and algorithm performance to develop our next generation of Health and Fitness features. This includes evaluating large user study datasets, design reviews, algorithm testing, bug reporting and triaging.
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Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees