Edge ML Engineer
Tasks
- Collaborate across functions to ship reliable AI capabilities
- Deploy machine learning models to production on mobile and embedded platforms
- Design machine learning models for edge devices
- Implement privacy and security for on device machine learning
- Optimize machine learning models for resource constrained environments
- Perform model compression quantization and pruning
- Profile and improve model performance
- Use edge inference frameworks for on device inference
Perks/Benefits
Skills/Tech-stack
C++ | Device development | Digital Signal | Digital Signal Processor | Edge inference | Embedded Systems | Federated Learning | Machine Learning | Mobile Device | Mobile device development | Model Compression | Model profiling | Neural Processing Unit | Neural processing | On Device Personalization | Pruning | Python | Quantization | Signal Processor
Education
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