Machine Learning/DSP Engineer
Apple
Software Engineering
Cupertino, CA, USA
Posted on Jan 14, 2025
Summary
Posted:
Role Number:200585924
At Apple, ideas and innovation become extraordinary products, services, and customer experiences by collaborating with passionate, inspiring, and bright peers. Our practices strengthen our commitment to improving the world, while providing you with a unique and rewarding opportunity to craft products that will delight and inspire millions of Apple’s customers every single day.
Description
Apple's Sensing, Data, and Interaction Software team's mission is to deliver differentiating technologies to enable the best Human Interface Devices (HID), and Health Sensing software products in the world. We are the engineering team behind innovating, developing, enabling, and shipping HID, Health sensors and features on Apple products. Our team is looking for a Signal Processing, Machine Learning expert with solid sensing technologies fundamentals, strong programming skills and commitment to continuous learning, effective collaboration, and adaptability. Someone who brings passion, diversity to our teams, and works with us in building amazing solutions to improve Apple's customer experience.
Minimum Qualifications
- Experience in developing, optimizing and implementing sensing algorithms and technologies
- Signal processing/DSP, Machine learning, linear algebra and statistics expertise
- Experience in algorithm optimization techniques for on-device implementation
- Strong computer science fundamentals including software programming skills in C, C++ and Python
- BS degree and 10 years of related experience
Key Qualifications
Preferred Qualifications
- Experience in developing customer facing sensing technologies
- Experience in Machine learning, Neural networks frameworks, including model training, deployment for customer usage
- Data modeling, augmentation, management and handling skills
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.