Sr Software Engineer, Machine Learning Platform Technologies – Cloud Infrastructure

Are you an open-source contributor passionate about building the next generation of cloud-native ML infrastructure? We’re looking for a hands-on technical leader with deep expertise in Kubernetes, Crossplane, Golang/Python, and agentic workflows to design and scale the platforms that power Apple’s Search and ML infrastructure ecosystems. If you’ve contributed to CNCF projects such as Kubernetes, Crossplane, or ArgoCD—and you’re driven to build intelligent, automated infrastructure for ML training and inference at massive scale—this role is for you. You’ll architect systems that are declarative, self-managing, and highly performant, enabling seamless ML experiences for billions of users. The MLPT Cloud Infrastructure Team within Apple’s Services organization designs, builds, and scales the foundational systems that power Search, and next-generation machine learning workloads. We are reimagining how infrastructure is managed through agentic, event-driven workflows, Crossplane compositions, and self-healing control planes. You’ll develop Model Context Protocol (MCP)-based infrastructure servers that integrate with ML and data workflows, delivering highly automated and observable infrastructure across hybrid and multi-cloud environments. You will collaborate across ML engineering, SRE, and platform teams to deliver infrastructure that adapts intelligently to application needs, optimizes for cost and performance, and accelerates the development of ML training and inference pipelines.