Build the software systems that will enable the next generation of fitness, safety, health experiences for Apple Watch, iPhones, and other Apple products.
Requirements
- Strong background in developing machine learning and/or deep learning models, preferably with time series data
- Experience in defining hypotheses, design of experiments, testing, and proving hypotheses
- Experience implementing prototypes in Python and/or MA TLAB, assessing performance, and doing failure analysis
- You have demonstrated the ability to break down complex requirements into independent components for the purpose of building modular systems and software
- You have experience converting desired outcomes into specs, and evaluating trade-offs between different operating points
- You appreciate the computational and storage complexities that come with modeling using large datasets
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses.
Responsibilities
- designing and implementing models and algorithms for Safety , Health, and Fitness use cases
- driving failure analysis and providing interpretable insights
- optimizing implementations for power, memory and performance
- coordinating closely with multi-disciplinary teams across the company
- work with scientists, engineers, QA, and project managers throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems
- help ship features that impact millions of users on a daily basis
Other
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology)
- Strong verbal and written communication skills
- You have experience working with cross-functional and/or interdisciplinary teams
- You understand the role feedback plays in your growth, and how effective communication affords more feedback opportunities
