Machine Learning Engineer
Apple
Full-time
On-site
Cupertino, California, United States
The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple
products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities
include 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, and and coordinating
closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers
throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will
help ship features that impact millions of users on a daily basis.
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology)
- 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
- Strong verbal and written communication skills
- 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.
- 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