The Applied Sensing & Health team creates features that use on-device sensing from iPhone, Apple Watch, AirPods and beyond to generate meaningful insights about your health, wellbeing and safety. From cardio fitness algorithms that track your health as you exercise, to crash detection systems that save lives, to journaling suggestions that understand your daily patterns, we transform complex multi-modal sensor data into elegant experiences for millions worldwide. Join us to pioneer the next generation of sensing-based features that will delight and inspire Apple's customers every single day.
Description
You have a deep sense of ownership and are committed to shipping high-quality, impactful features for millions of users. You are comfortable navigating ambiguity in early-stage feature development and can proactively define paths forward. You build strong, collaborative relationships with cross-functional partners and are dedicated to a culture of continuous improvement for yourself, your team, and our products.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or related technical fields
Strong proficiency in one of C++, Objective-C or Swift languages
Solid understanding of performance optimization, memory management, and power-efficient programming
Strong presentation skills and ability to explain complex software concepts to health, research, and clinical professionals
Preferred Qualifications
Experience collaborating with cross-functional teams and communicating technical concepts to non-technical stakeholders
Mobile app development experience (iOS, watchOS, SwiftUI)
Background in digital signal processing (DSP) and time-series analysis, particularly for biometric or inertial sensor data.
Relevant experience within health domains (including work with SaMD or regulatory products)
Proficiency with Python data analysis libraries (matplotlib, pandas, numpy)
Experience with machine learning technologies and algorithm implementation
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 66cb48b46c01327088f33eb268e4dcd
- Posted 4 days ago
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