The Allen Institute for AI
Research Scientist, Climate Modeling
$167K–$261K
Seattle, WA +1 · Full-time · Posted Sep 25, 2026
- Location
- Seattle, WA
Seattle, WA, United States - Education
- Ph.D. in computer or computational science, applied mathematics/statistics, atmospheric science, or a related geophysical science.
- Visa sponsorship
- The employer participates in E-Verify and confirms work authorization after a job offer is accepted and Form I-9 is completed.
About the job
Develop an open-source, AI-powered hybrid climate model that improves climate projections, including by coupling NeuralGCM with an ML-based ocean model.
What you'll do
- Design, implement, and test strategies for coupling NeuralGCM with an ocean model and incorporating physical principles into learned model components.
- Present research at conferences and in peer-reviewed publications, and develop open-source code collaboratively.
- Mentor postdocs and interns.
What they ask for
- Substantial experience building and deploying a relevant ML application in a practical or academic research setting.
- Fluency in Python and collaborative coding practices.
- Ph.D. in computer or computational science, applied mathematics/statistics, atmospheric science, or a related geophysical science.
- At least one accepted conference paper or peer-reviewed first-authored publication making extensive use of ML; excellent communication skills.
Nice to have
- Training or practical experience in physically based atmospheric, oceanic, or related model development; prior professional or postdoctoral ML experience.
- Experience writing ML code in JAX; formal graduate-level ML coursework.
Pay
USD $167,030 - $260,570 base salary
Tools
Python, JAX, TPUs, NeuralGCM
AI focus
Develop an AI-first, physics-informed hybrid climate model trained on historical observations to improve multidecadal forecasts and generalize to unseen climates; couple it to an ML-based ocean model.
Model-written summary · the original posting is authoritative