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Apple Software Engineer Machine Learning 
United States, California, Cupertino 
990310611

08.06.2025
In this role, you will architect and implement the native platform layer that bridges advanced ML models with iOS and macOS user experiences. You'll design high-performance native applications, create OS-level integrations for ML inference, implement system-level optimizations, and build the developer tools that enable AI features across Apple's platforms.KEY RESPONSIBILITIES:- Design and build production-quality iOS and macOS applications that showcase and productize cutting-edge ML capabilities- Implement deep OS-level integrations to optimize ML model inference, memory management, and power efficiency- Build prototyping tools and infrastructure that accelerate AI research validation on native platforms- Implement system-level performance optimizations for real-time AI workloads- Create seamless user experiences that make complex AI capabilities feel intuitive and responsive
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
  • 3+ years of professional iOS or macOS development experience with shipped applications
  • Strong proficiency in Swift and Objective-C with deep understanding of Apple's development frameworks
  • Experience with system-level programming, performance optimization, and memory management
  • Proven track record of building high-performance native applications
  • Ability to collaborate effectively with cross-functional teams including ML researchers and hardware engineers
  • Deep expertise in Apple's ML frameworks including Core ML, Metal Performance Shaders, and Accelerate
  • Experience with low-level optimization for Apple Silicon, including understanding of the Neural Engine and GPU architectures
  • Knowledge of ML model formats, quantization techniques, and inference optimization strategies
  • Experience building developer tools, frameworks, or SDKs used by other engineering teams
  • Understanding of real-time systems, threading, and concurrent programming patterns
  • Familiarity with AI/ML concepts and ability to collaborate effectively with ML researchers
  • Experience with system-level iOS/macOS development including kernel extensions, background processing, or inter-process communication
  • Track record of shipping innovative features that push the boundaries of what's possible on mobile and desktop platforms
  • Strong problem-solving skills with experience debugging complex performance and integration issues
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.