Senior Machine Learning Scientist, Climate & Hydrology

Summary

Leads scientific direction and ML development for hydrology-aware climate and environmental prediction systems, integrating hydrologic process understanding with modern machine learning methods. Designs and implements reproducible workflows to process large climate, weather, hydrology, and remote sensing datasets, trains and benchmarks ML/physics-hybrid models, assesses uncertainty and robustness, and communicates results via publications and technical presentations.