ML Research Engineer - Physics - Informed AI
Core
Develop and train physics-informed neural networks for advanced sensing and optical measurement systems.
Role type
Research ML Engineer (Physics-Informed AI)
Builds
Neural network models combining data-driven learning with physical modeling for sensing and reconstruction
Domain
Machine Learning + Physics (Optical Measurement & Sensing)
Deliverable
production ML models
Required skills
Python, PyTorch, Neural Network Training, Physics Modeling, Data Preprocessing, Model Validation, Experiment Design, Error Analysis, Simulation Data Handling
Preferred skills
Scientific Computing (NumPy, SciPy), Optimization Theory, Model Debugging, Cross-functional Collaboration
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