Senior Machine Learning Engineer – Physical AI
Tasks
- Build and maintain MLOps infrastructure
- Collaborate on sensor selection and data collection protocols
- Deploy models to constrained hardware
- Design and implement sensor data pipelines
- Document model development and validation results
- Identify data quality gaps and model failure modes
- Integrate machine learning inference into firmware
- Optimize models for edge deployment
- Own full machine learning lifecycle from raw sensor data to deployed edge model
- Train evaluate and iterate on machine learning models
- Validate models using statistical shift and uncertainty methods
Perks/Benefits
- 401k retirement plan
- Bereavement Time
- Company team events
- Flexible time off
- Medical/Dental/Vision insurance
- PFML State Programs
- Parental leave
- Sick leave
Skills/Tech-stack
Anomaly Detection | C# | C++ | CI/CD | Confidence Calibration | CoreML | Data Preprocessing | Edge Computing | Feature Engineering | Git | Knowledge Distillation | MLOps | MLflow | Machine Learning | ONNX | Out-of-distribution Detection | Pruning | PyTorch | Python | Quantization | Sensor data | TFLite | TensorFlow | TensorRT | Time Series | Unit Testing | Weights & Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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