AIML- Software Development Engineer, Machine Learning Platforms & Infrastructure

Apple is seeking an exceptional Lead Systems Engineer / Systems Architect with experience in Machine Learning (ML) infrastructure services and applications for the AI/ML Production Engineering team. This role involves working with global teams on ML compute Platforms and model lifecycles, identifying and solving scaling issues for AIML-focused services, and designing architectural solutions through cross-organizational collaboration. The position requires collaboration with team members worldwide, supporting internal customers of ML platforms and tools, improving development velocity, and responding to interruptions or delays. Key responsibilities include creating performance profiles for ML platforms and services, enhancing automation of operations, analyzing network and throughput issues, and working closely with platform and compute infra engineering teams to improve system reliability. The ideal candidate will have 15+ years of software development experience in platform operations or operational stack components, proficiency in coding with various languages, and a deep understanding of ML training platforms and networking across multiple cloud environments. This high-impact role is essential to creating the highest quality user experience that Apple is known for.