On-device ML Engineering Manager (Tools & Services)
Tasks
- Build backend web services for on device execution insights
- Build frontend web services for ML model introspection
- Develop on device toolchain for low level performance data
- Lead performance tools and services team
- Map low level performance data to framework level operations
- Partner with engineering leaders to develop platform and support internal external clients
- Run ML inference infrastructure across device fleets
- Support ML developer experience for authoring optimization transformation execution debugging profiling and analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Analysis | Backend Development | Benchmarking | C++ | Compiler Technologies | Core ML | Device Machine Learning | Distributed Systems | Executorch | Frontend Development | Inference | LLVM | MLIR | Machine Learning | ONNX | Objective-C | On-device Machine Learning | Performance Profiling | PyTorch | Python | Swift | TensorFlow Lite | Web Services
Education
Roles
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