Senior Applied ML Engineer, On-Device
Tasks
- Conduct edge machine learning research and literature reviews
- Develop machine learning and DSP algorithms for embedded constraints
- Execute end to end machine learning workflows
- Integrate models with hardware and firmware systems
Perks/Benefits
Skills/Tech-stack
C# | C++ | DSP | Data Analysis | Deep learning | Embedded Systems | Exploratory Data Analysis | Feature Engineering | Machine Learning | Model Compression | Model Evaluation | Model Optimization | Model Training | On-device Inference | Quantization | Time Series
Education
Regions
Countries
States
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