On-device ML Infrastructure Engineer (ML User Experience APIs & Integration)
Apple
Software Engineering, Other Engineering, Design, Data Science
Seattle, WA, USA
Posted on May 29, 2025
Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. This amazing team is responsible for enabling the Research to Production lifecycle of cutting edge ML models that power magical user experiences on Apple’s hardware and software platforms. We build critical infrastructure that begins with onboarding the latest machine learning architectures to embedded devices, optimization toolkits to better suit target devices, machine learning compilers and runtimes that execute these models as efficiently. Our team also benchmark, analyze and debugging toolchains needed to improve on new model iterations. This infrastructure underpins most of Apple’s critical machine learning workflows across Camera, Siri, Health, Vision, etc. Our team plays an integral part of Apple Intelligence. Our group is looking for an ML Infrastructure Engineer, with a focus on ML user experience APIs and Integration. Our team is responsible for developing new ML model conversion & authoring APIs that will be a part of CoreML tools (CoreML’s authoring/conversion toolkit). This role takes ownership for integrating the APIs into internal and external systems (e.g., HuggingFace.)