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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

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