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Senior Machine Learning Efficiency Engineer - SIML, ISE

Apple
Seattle, WA Full-time 12/10/2025
Master's with 2+ Years of Experience

Job Description

Apple's Intelligence System Experience team is seeking a senior machine learning engineer to develop scalable software systems and algorithms for AI-driven experiences. The role focuses on optimizing training and inference performance, particularly using PyTorch, and offers opportunities for open-source contributions.

Requirements

  • PhD or Master's degree in Computer Science or equivalent experience
  • 3+ years working with AI/ML technologies in production or research settings
  • Strong Python programming skills
  • Understanding of software design principles and algorithms
  • Experience with deep learning frameworks, such as PyTorch
  • Experience building large-scale distributed systems
  • Familiarity with parallelization algorithms for large model training
  • Familiarity with recent developments in foundation model architectures

Responsibilities

  • Develop core components for a scalable ML platform
  • Push the limits of existing training technologies
  • Create new techniques to overcome system constraints
  • Optimize training and inference performance using PyTorch
  • Improve distributed training throughput and system-level efficiency

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.