Machine Learning Algorithm Engineer

5 days ago


Cupertino, United States Apple Inc. Full time

At Apple, ideas and innovation become extraordinary products, services, and customer experiences by collaborating with passionate, inspiring, and bright peers. Our practices strengthen our dedication to improving the world while providing you with an outstanding and exciting opportunity to craft products that will delight and encourage millions of Apple’s customers every single day.

Description

Apple's Sensing, Data, and Interaction Software team 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 and Health sensors and features on Apple products. Our team is looking for a Signal Processing, Machine Learning expert with proven sensing technologies fundamentals, strong programming skills, and dedication to continuous learning, effective collaboration, and adaptability. Someone who brings passion and diversity to our teams and works with us in building amazing solutions to improve Apple customers' lives

Minimum Qualifications

  1. 3+ years of experience in algorithm optimization techniques for on-device implementation
  2. Signal processing, Machine Learning, linear algebra, and statistics expertise
  3. Experience with numerical methods and techniques for implementing on-devices
  4. Strong computer science fundamentals including software programming skills in C, C++, and Python
  5. BS and a minimum of 3 years relevant industry experience

Preferred Qualifications

  1. Experience in developing customer-facing sensing technologies
  2. Experience in Machine Learning, Neural networks frameworks, including model training, deployment for end-to-end customer device usage

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.

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