Apple
On-Device ML Engineering Manager (Tools & Services)
$196K–$338K
Seattle, Washington · Manager · Full-time · Posted Jul 22, 2026
- Experience
- Two or more years of management experience; no other years specified.
- Education
- BS/MS/PhD in Computer Science or Electrical Engineering.
About the job
Leads a team building developer tools, services, and infrastructure for profiling, analyzing, and improving machine-learning execution on Apple devices.
What you'll do
- Lead and grow teams building frontend and backend services and on-device performance tooling.
- Improve the model-authoring, profiling, and iteration workflow for ML developers.
- Own reliable, scalable infrastructure for running inference across fleets of devices.
What they ask for
- BS/MS/PhD in Computer Science or Electrical Engineering.
- Two or more years of strong and validated management experience.
- Knowledge of ML development workflows, including experience with at least one authoring framework.
- Experience delivering web services and/or developer-facing tools across frontend and backend; excellent communication skills; track record of clean architectures and high-performance, extensible software; programming skills in at least one listed language.
Nice to have
- Experience with on-device ML frameworks, performance profiling and benchmarking, or infrastructure for workloads across device fleets.
- Experience connecting low-level performance data to framework operations or with MLIR / LLVM compiler technologies.
Pay
$195,700 and $338,400 (base pay range; USD)
Tools
PyTorch, Python, Swift, Objective-C, C/C++, Core ML, Win ML, ONNX
AI focus
Builds tools and infrastructure for on-device ML development, execution, profiling, analysis, and performance improvement.
Model-written summary · the original posting is authoritative