On-Device ML Engineering Manager (Tools & Services)
Core
Lead the Performance Tools and Services team to build infrastructure enabling on-device ML model introspection, profiling, and inference across Apple device fleets.
Role type
Engineering Manager (On-Device ML Tools & Services)
Builds
Frontend/backend web services for ML model introspection, on-device toolchains for performance data gathering, and infrastructure for fleet-wide ML inference.
Domain
Consumer electronics / On-device Machine Learning
Deliverable
infrastructure
Required skills
ML development workflows, full-stack web development, distributed systems, performance analysis and profiling, software architecture design, programming in Python/Swift/Objective-C/C++
Preferred skills
On-device ML frameworks (Core ML, Win ML, ONNX, TF Lite, ExecuTorch), MLIR/LLVM compiler technologies, fleet-scale workload infrastructure
Responsibilities
Lead team building frontend/backend services and on-device toolchains for ML performance data; Drive improvements to the model authoring-to-profiling workflow; Own infrastructure for reliable, scalable ML inference across device fleets; Hire and guide ML/software/tools engineers; Partner cross-functionally to advance on-device ML performance.
Seniority
Manager, hands-on technical leadership
