About the position
Our team is seeking experienced iOS and macOS engineers to build the platform foundations that enable cutting-edge AI-driven products at Apple. This role focuses on native application development and operating system integration, working closely with ML research teams, hardware engineers, and design teams across the company. You'll be responsible for creating the iOS and macOS infrastructure that brings breakthrough AI technologies directly into users' hands through seamless, performant native experiences. Your work will establish the technical foundations that allow revolutionary ML capabilities to feel natural and effortless within Apple's ecosystem.
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
- Create developer frameworks and APIs that enable AI features across Apple's app ecosystem
- Collaborate with ML teams to optimize model deployment and inference pipelines for Apple Silicon
- Build prototyping tools and infrastructure that accelerate AI research validation on native platforms
- Implement system-level performance optimizations for real-time AI workloads
- Partner with hardware teams to leverage specialized ML acceleration capabilities
- Create seamless user experiences that make complex AI capabilities feel intuitive and responsive
Requirements
- 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
Nice-to-haves
- 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
