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python tensorflow machine learning matlab biosensors📋 Description
- Design and implement algorithms to extract physiological data from biosensors.
- Optimize on-device computation for edge devices.
- Collaborate with Firmware and Data Science to deploy AI on edge devices.
- Optimize models for real-time inference and battery use on edge devices.
- Develop personalized algorithms using member data.
- Research edge-computation methods to boost performance.
- Contribute to production-ready code and validation.
- Build, train, and test ML models for large-scale edge data.
🎯 Requirements
- Master's in CS/Applied Math/EE/BME or related; 4+ yrs in signal processing/ML.
- 4+ yrs building AI for real-time edge processing.
- 4+ yrs collaborating with cross-functional teams on edge solutions.
- 4+ yrs with biosensor systems and biomedical data analysis.
- 4+ yrs with signal and image processing (C/C++/Python/MATLAB).
- 4+ yrs with ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
- 4+ yrs with statistical methods and clinical study design.
- 4+ yrs optimizing edge code and battery usage.
- Full-time position.
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