Research Engineer, Climate Modeling
About The Position
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $146,880 - $220,320 and in addition we have generous bonus plans to provide a competitive compensation package. We seek a Research Engineer 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. We’re looking for someone passionate about improving the quality, efficiency and accessibility of climate models with AI and modern software engineering. This position is supported by a grant with a current period of performance ending September 22, 2029. Continuation of the position beyond that date depends on renewal, extension, or identification of additional funding. Ai2 will make reasonable efforts to notify the employee if funding for the position is expected to end.
Requirements
- 2-4 years of experience building and deploying a relevant ML application in a practical or academic research setting and be fluent in Python and collaborative coding practices.
- A B.Sc. in computer or computational science, atmospheric science or a related geophysical science, or applied mathematics/statistics.
- Experience in developing ML training code for use in a cloud computing environment.
- Demonstrated excellent communications skills.
Nice To Haves
- Have a Ph. D. in computer or computational science, atmospheric science or a related geophysical science, or applied mathematics/statistics, with at least one peer-reviewed first-authored publication or accepted conference paper making extensive use of ML in a physical science setting.
- Have formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development.
- Have experience writing machine learning code in JAX.
Responsibilities
- Adapting the training pipeline and data needs of NeuralGCM to run efficiently on Google Cloud resources and on NVIDIA GPUs. Note that NeuralGCM is written in JAX and implemented on TPUs.
- Documenting this training pipeline and distributing code on a GitHub repo.
- Implementing and testing a strategy for coupling NeuralGCM with the chosen ML ocean model.
- Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and external collaborators.
- Develop and present tutorials on NeuralGCM+ to interested user groups.
Benefits
- medical, dental, vision, and an employee assistance program.
- health savings account plan
- healthcare reimbursement arrangement plan
- health care and dependent care flexible spending account plans.
- company’s 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
- long-term incentive plan.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
