Research Scientist, Climate Modeling

The role

You will develop an AI-powered physics-informed hybrid climate model to improve multidecadal forecasts. This involves coupling NeuralGCM with an ocean model and designing strategies to improve skill in unseen climates.

What you will do

• Designing, implementing and testing a strategy for coupling NeuralGCM with the chosen ocean model.
• Designing, implementing and testing a strategy for decomposing physical parameterizations and constraints.
• Presenting results at major relevant AI and climate modeling conferences and in peer-reviewed publications.
• Open-source code development including daily meetings, code review, and design documents.
• Mentoring postdocs and interns.

Required qualifications

• Substantial experience building and deploying a relevant ML application in a practical or academic research setting.
• Fluent in Python and collaborative coding practices.
• Ph. D. in computer or computational science, applied mathematics/statistics, or 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 communications skills.
• Ability to remain in a stationary position for long periods of time.
• Ability to communicate information and ideas so others will understand.
• Ability to observe details at close range.
• Can work under deadlines.

Nice to have

• Formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development.
• Previously held a professional or post-doctoral position using machine learning skills.
• Experience writing machine learning code in JAX.
• Formal graduate-level ML coursework.

Benefits

• Medical, dental, vision, and an employee assistance program.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month to assist with commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year.
• Up to seven personal days per year.
• Up to 20 vacation days per year.
• Twelve paid holidays throughout the calendar year.
• Annual bonuses.
• Participation in the long-term incentive plan.

Before you apply

• Applications will be reviewed starting October 28, 2026.
• Continuation of the position beyond September 22, 2029 depends on renewal, extension, or identification of additional funding.

About the company

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Its mission is building breakthrough AI to solve the world’s biggest problems.