On Device ML
Apple
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See open jobs at Apple.See open jobs similar to "On Device ML" AnitaB.org.Software Engineering, Data Science
Seattle, WA, USA
Posted on Jun 11, 2025
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that area, working with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to embedded devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to complete these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations. This infrastructure underpins most of Apple’s critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence. Our group is seeking an ML Infrastructure Engineer, with a focus on ML Insights and Forecasting. The role entails exploring new trends in ML architectures, getting them running with our on device stack, and building infra to enable regular coverage of these models.
This job is no longer accepting applications
See open jobs at Apple.See open jobs similar to "On Device ML" AnitaB.org.