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Machine Learning Resource Management Engineer - SIML

Apple

Cupertino, California, United States of America
Full-time, Regular
Posted Aug 14, 2025
Onsite

About the role

We are looking for hardworking engineers who can contribute to building the ecosystem of tooling vital to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple’s ecosystem.

Responsibilities

  • Contribute to improvements on how we manage resources from a technical and policy standpoint
  • Influence the rest of the company on these aspects
  • Develop numerous tools to facilitate development of ML models and collaboration around these ML models
  • Manage the use of multiple resources such as training compute for Software Engineering, or disk footprint of on-device ML models throughout our operating systems

Requirements

  • Bachelors or Master’s degree in Computer Science, Engineering, or equivalent experience
  • 5+ years of proven experience in leading infrastructure strategy to support scalable, high-performance ML systems
  • Proficient in Python and/or C++
  • Validated experience in engineering resource management with strong communication and interpersonal skills
  • Experience in software automation
  • Understanding of fundamental machine learning concepts

Benefits

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

About the Company

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.

Job Details

Salary Range

$181,100 - $272,100/yearly

Location

Cupertino, California, United States of America

Employment Type

Full-time, Regular

Original Posting

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