Senior Machine Learning Scientist, Climate & Hydrology

What you'll do

• Set research priorities and guide model development, training, benchmarking, validation, and evaluation.
• Work with large climate, weather, hydrology, and remote-sensing datasets and build reproducible workflows.
• Collaborate across science, engineering, and data teams; assess model performance and communicate findings.

What they ask for

• PhD in machine learning, computational science, Earth science, atmospheric science, hydrology, AI, computer science, or a related quantitative discipline.
• 5+ years of postdoctoral, industry, or applied research experience in climate ML, weather ML, hydrologic modeling, Earth system modeling, or a closely related field.
• Demonstrated experience with ML-accelerated weather, climate, or hydrology models, with a strong publication track record in the area.
• Strong programming skills in Python and experience with modern ML frameworks such as PyTorch.

Nice to have

• Experience with computational infrastructure for large-scale climate datasets, preferably in the AWS ecosystem.
• Background in scientific ML, spatiotemporal modeling, data assimilation, or hybrid physics-ML methods; cross-functional research leadership is also preferred.

Pay

$127,000 - $205,900 USD base salary (Colorado); $168,000 - $231,000 USD base salary (Massachusetts)

Tools

Python, PyTorch, AWS

AI focus

Develops and evaluates ML-based climate, weather, and hydrology models informed by physical and Earth system science; the applicant privacy notice also states that applications may be reviewed using AI-assisted screening tools.