About The Position

The Applied Sensing u0026 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. You will help ship high-quality, interactive Health, Fitness, and Safety features that impact millions of Apple Watch, iPhone, and AirPods users. You have a deep sense of ownership and feel a personal stake in the products you ship. You are comfortable navigating ambiguity in early-stage development, demonstrate initiative, and work well under tight deadlines. You build strong, collaborative relationships with others and are dedicated to a culture of continuous improvement for yourself, your team, and our products.

Requirements

  • PhD in Computer Science, EECS, machine-learning or equivalent experience.
  • Strong background in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.)
  • Experience collaborating with cross-functional teams and communicating technical concepts to non-technical stakeholders
  • Excellent interpersonal skills and communication (written and verbal)

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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