Senior Machine Learning Scientist, Climate & Hydrology
Core
Lead scientific direction and machine learning development for hydrology-aware climate modeling within an environmental modeling platform.
Role type
Senior Machine Learning Scientist (Climate & Hydrology)
Builds
Next-generation prediction systems for climate and environmental data
Domain
Climate science, hydrology, and machine learning
Deliverable
production ML models
Required skills
Python, PyTorch, large-scale dataset management, reproducible workflow design, model evaluation frameworks, scientific writing
Preferred skills
Hybrid physics-ML methods, data assimilation, spatiotemporal modeling, cross-functional leadership
Technologies
AWS, PyTorch
Responsibilities
Define research priorities and modeling directions for climate prediction systems; develop ML-based modeling approaches informed by Earth system science; work with large-scale climate, weather, and remote sensing datasets; build reproducible workflows for data processing and model training; assess model performance and uncertainty; communicate findings via publications and presentations.
Seniority
Senior, hands-on IC with research leadership