Machine Learning Infrastructure Engineer - SIML, ISE

Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.

We are seeking a ML Infrastructure Engineer to design, optimize, and scale the systems that power large-scale model training across the organization. This role sits at the intersection of high-performance computing, machine learning, and infrastructure engineering, delivering the core capabilities teams rely on to iterate quickly and reliably.

Description

The ideal candidate brings strong software engineering fundamentals, deep familiarity with distributed training, and a passion for building infrastructure that is efficient, observable, and easy for ML practitioners to use. You'll work closely with model developers and platform teams to ensure training workflows are fast, reliable, and cost-effective-while also supporting users operationally to keep them unblocked and productive.