Senior ML Engineer, Apple Ray, Apple Data Platform

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401(k) match

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About this role

Senior ML Engineer, Apple Ray, Apple Data Platform Cupertino, United States of America The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple's unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple's intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale. Apple Ray integrates deeply with Apple's data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure. You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple's ML workloads. You'll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane. This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure. Build scalable distributed systems and platform

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