Software Engineer, Machine Learning

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. The team values rapid iteration and real-world validation, bringing cutting-edge AI research into tangible user experiences that demonstrate the potential of next-generation computing. You'll collaborate with ML researchers, hardware teams, and product designers across Apple, translating breakthrough AI capabilities into polished native applications and system integrations. This unique opportunity positions you at the intersection of advanced AI research and world-class platform engineering, working on projects that define how users will interact with AI across Apple's ecosystem. You'll contribute to an environment that consistently pushes the boundaries of what's possible when sophisticated ML models meet beautifully crafted native experiences. 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 - 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