The Applied Sensing & Health team has built innovative ways for users to improve their health and fitness. When you exercise and move with your devices, it’s the sensor fusion algorithms from the engineers and scientists on this team, that track human motion and provide interpretable insights. Join us to work with people who have expertise and passion to model human movement and have a positive impact in users’ lives. As a member of our dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple’s customers every single day.

The Applied Sensing & Health team delivers Health and Fitness features for Apple Watch, iPhones and other Apple products. We are looking for ML engineers who care deeply about their craft to join us. The roles and responsibilities include scoping, designing and implementing models for Health and Fitness algorithms, optimizing implementations for power, memory and performance, and coordinating closely with multi-disciplinary teams across the company. You will work with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering best-in-class secure and scalable systems. Most importantly, you will help ship features that impact millions of users on a daily basis.

MS 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science).Strong background in developing machine learning and/or deep learning models, preferably with time series data.Strong proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow