Applied Sensing & Health Machine Learning ScientistThe Applied Sensing & Health team has built innovative ways for users to improve their health or watch for their lives with their devices through motion. This team combines machine learning, signal processing, innovative study design, and expertise in biomechanics and biomedical sciences to deliver important features like Fall Detection, Workout Fitness Metrics, Walking Steadiness, and the Apple Heart and Movement Study. Our ever-evolving suite of features in iPhone, Watch, and beyond have helped customers stay healthy and active, track their recovery from surgery, monitor medical conditions like Parkinson's, and screen users' cardiovascular health through real-world exercise tests. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We deliver science-backed designs of best-in-class motion algorithms that capture even the subtlest of human movements straight to our customers to empower them to better understand their movement health.DescriptionIn this position, you will be working on motion health technologies. Roles and responsibilities include:
Collecting and analyzing data for prototype feature development in specialized mobility labs. Designing, implementing, and maintaining algorithms and APIs for iOS and watchOS on embedded systems. Optimizing implementations for power, memory, and performance. Close coordination with multidisciplinary teams across the company. Working closely with scientists, engineers, QE, and project managers throughout the software lifecycle in successfully delivering best-in-class secure and scalable systems.Most importantly, you will help ship interactive features that impact millions of users on a daily basis. You take responsibility; you demonstrate creativity, initiative, and the ability to work to deadlines. You feel a personal stake in the product you ship. You thrive in uncertainty and strive to bring order to it. You keep your eye on the ball; you build strong relationships; and you are constantly looking to improve yourself and your team. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.Minimum Qualifications - Background in machine learning/statistical modeling, multi-modal sensing, and/or computer vision.
- Experienced and intuitive understanding of biomechanics, engineering mechanics, or inertial sensing.
- Enthusiasm for health tracking technology.
- Excellent interpersonal skills and communication (written and verbal).
- Strong working knowledge of Python.Preferred Qualifications
- Strong analytical and problem-solving skills.
- Excellent interpersonal skills and communication (written and verbal).
- You are upbeat, adaptable, and results-oriented with a positive attitude.
- Experience with C++ a plus.
- PhD or 5+ years research experience in Machine Learning, Computer Science/Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field with relevant domain knowledge.
- Coursework or experience in some of the following: machine learning, signal processing, biomechanics, controls, dynamics, statistics, programming.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. #J-18808-Ljbffr