Apple - Cupertino, CA

posted about 1 month ago

Full-time - Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The Senior Machine Learning Engineer role at Apple focuses on enhancing the intelligence and personalization of Apple products through innovative machine learning solutions. The OS Intelligence team is responsible for developing predictive models and deep learning architectures that improve user experience across various operating systems. This position involves cross-functional collaboration to design and implement machine learning algorithms, analyze performance data, and contribute to the software development lifecycle for iOS, iPadOS, macOS, watchOS, and visionOS.

Responsibilities

  • Innovate and prototype intelligent experiences using recent advances in machine learning.
  • Build scalable cloud-based and on-device infrastructure for experiments and model monitoring.
  • Analyze and present key performance data for OS features.
  • Write performant code in Objective-C or Swift, and test and debug it.
  • Consult with and influence other teams to drive adoption of new APIs.

Requirements

  • 4+ years of industry experience after a Bachelor's degree in Computer Science or equivalent work experience.
  • Strong programming background with a clear understanding of operating system components.
  • Familiarity with statistics, data analysis, or machine learning.
  • Outstanding communication and presentation skills.
  • Proven track record of leading software projects from inception to delivery.
  • Ability to deliver high-quality work on tight schedules.

Nice-to-haves

  • Familiarity with Python, Objective C, or Swift.
  • Experience with Deep Learning libraries like PyTorch and TensorFlow.
  • Experience in building and leading Applied Machine Learning projects in industry or academia.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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