Applied Sensing & Health, Embedded Systems Engineer
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.
Description
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.
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","responsibilities":"Design, implement, and ship interactive software features and algorithms that impact millions of users on a daily basis.
Optimizing software implementations for power, memory, and performance, especially within the constraints of embedded, low-power system.
Operating at the intersection of software, data engineering, and machine learning.
Collaborate closely with scientists, engineers, QA, and project managers throughout the software lifecycle.
Take ownership of features from conception to release, showing creativity to deliver robust, scalable, and best-in-class systems.
Preferred Qualifications
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)
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, EECS, or equivalent experience.
Minimum 2 years of professional software development experience
Developed C/C++, ObjC or Swift code for a shipping product in a peer reviewed environment.
Background in developing, training deep-learning models in various domains and optimizing those models for low-power embedded systems
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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