Machine Learning Engineer

Join the Applied Sensing & Health team and build the software systems that will enable the next generation of fitness, safety ,

health experiences. We are a highly multi-disciplinary team and we tackle the most challenging problems in this space. As a

member of our team, you will have the unique and rewarding opportunity to shape upcoming products that will motivate and

inspire millions of Apple's customers every single day .

Description

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.

Preferred Qualifications

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

Minimum Qualifications

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .