Senior Algorithms Engineer
Tasks
- Build offline and hardware in the loop test benches
- Conduct algorithm code reviews for numerical stability and reproducibility
- Define ground truth labeling strategies
- Deploy embedded machine learning models
- Design signal processing algorithms
- Develop on device machine learning models
- Evaluate model performance on clinically relevant populations
- Integrate algorithm pipelines into real time embedded systems
- Optimize models for embedded deployment
- Own algorithm lifecycle from requirements to monitoring
- Validate algorithm correctness and regressions
- Write and maintain algorithm documentation and verification records
Perks/Benefits
- 401k matching
- Disability insurance
- Learning and development stipend
- Life insurance
- Medical/Dental/Vision insurance
- One Medical membership
- Paid time off
- Parental leave
- Stock Incentive Plans
Skills/Tech-stack
Artifact removal | Audio classification | C plus plus | C# | Convolutional Neural Networks | Deep learning | Digital Signal | Digital Signal Processing | Embedded Systems | Embedded inference | Feature extraction | Filtering | Frequency analysis | MLOps | Machine Learning | Model Compression | Model Optimization | Neural Networks | Noise Reduction | NumPy | Numerical Stability | PyTorch | Python | Real Time | Real-time Systems | Recurrent Neural Networks | Reproducibility | STFT | SciPy | Segmentation | Signal Processing | Spectral Analysis | TFLM | TensorFlow | TensorFlow Lite | Time Series | Time Systems | Time series classification | Time-Frequency | Time-Frequency Analysis | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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