Machine Learning Engineer - Sensing & Connectivity

Apple • Cupertino, CA

6d

About The Position

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, ambient sensing, and more to have a positive impact in users’ lives. As a member of our dynamic group, you will have the unique and rewarding opportunity to develop state of the art multimodal fusion of sensors, shape and contribute to the intelligence of 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.

Requirements

• MS with 3+ 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
• Ph.D. or 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science)
• Ability to form hypotheses and creatively apply different statistical approaches to the data in proving the hypotheses
• Appreciation for the computational and storage complexities that come with modeling using large datasets
• Leveraging distributed compute/storage models when the scale of data calls for it
• Belief that the integrity of the tooling and pipelines are critical to coming up with high quality analyses, and are creative and disciplined about validation
• Understanding the role feedback plays in growth, and how effective communication affords more feedback opportunities

Responsibilities

• Scoping, designing and implementing models for Health and Fitness algorithms
• Validating algorithms with synthetic data flows and real datasets with generative AI
• Coordinating closely with multi-disciplinary teams across the company
• Working with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering best-in-class secure and scalable systems
• Shipping features that impact millions of users on a daily basis

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level