Machine Learning Engineer
Apple
Cupertino, California, U.S.
Full-time, Regular
Posted Sep 17, 2025
Onsite
Compensation
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About the role
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.
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
Requirements
- 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 MATLAB, assessing performance, and doing failure analysis
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Range of discounted products and free services
- Reimbursement for certain educational expenses
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan
- Discretionary bonuses or commission payments
- Relocation assistance
About the Company
Apple is an equal opportunity employer that is committed to inclusion and diversity
Job Details
Salary Range
$147,400 - $272,100/yearly
Location
Cupertino, California, U.S.
Employment Type
Full-time, Regular
Original Posting
View on company website