# Research Scientist, Climate Modeling

**Company**: Ai2
**Location**: Seattle, WA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $167,030 - $260,570
**Category**: Research
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/thealleninstitute/jobs/8234335?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4fdbdf2-f0f

## Description

We seek a Research Scientist for a new three-year project to develop an AI-powered physics-informed hybrid climate model trained on historical data that is capable of multidecadal forecasts that are more accurate than the current state of the art.

You will join a small team to develop the desired NeuralGCM+ model and foster its uptake by the climate modeling community. This includes coupling it to an ML-based ocean model and designing approaches to demonstrably improve its skill in unseen climates.

Responsibilities:

- 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 into parts encoded based on physical equations vs. parts that can be learned from historical observations.

- Presenting results at major relevant AI and climate modeling conferences and in peer-reviewed publications.

- Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and interaction with external collaborators.

- Mentoring postdocs and interns.

Requirements:

- 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.

- Demonstrated excellent communications skills.

Benefits:

- Medical, dental, vision, and employee assistance program coverage for team members and their families.

- Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.

- 401k plan.

- $125 per month for 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, and twelve paid holidays throughout the calendar year.

- Annual bonuses and long-term incentive plan participation.

## Skills

### Required
- Python
- ML
- climate modeling
- AI
- JAX

### Nice to have
- physically-based atmospheric, oceanic, or related model development
- machine learning skills
- formal graduate-level ML coursework

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/thealleninstitute/jobs/8234335?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)