Machine Learning Engineer

Apple's Applied Sensing & Health team is seeking a Machine Learning Engineer to join their innovative group focused on delivering Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple products. This role offers a unique opportunity to shape products that impact millions of users daily.

As a Machine Learning Engineer, you'll be part of a highly multi-disciplinary team tackling challenging problems in the health and fitness space. You'll work on designing and implementing models and algorithms for Safety, Health, and Fitness use cases, while optimizing for power, memory, and performance. The role involves close collaboration with scientists, engineers, QA, and project managers throughout the software lifecycle.

The position requires expertise in machine learning and deep learning, particularly with time series data. You'll be responsible for driving failure analysis, providing interpretable insights, and implementing prototypes in Python and/or MATLAB. The ideal candidate should have strong analytical skills and the ability to work effectively in a cross-functional environment.

This is an excellent opportunity for someone passionate about applying machine learning to real-world health and fitness applications, with the potential to impact Apple's global user base. The role offers competitive compensation, comprehensive benefits, and the chance to work with cutting-edge technology at one of the world's leading tech companies.

Join Apple's Applied Sensing & Health team and be part of building the next generation of fitness, safety, and health experiences that will motivate and inspire millions of Apple's customers every single day.