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SAIC is seeking an experienced Scientific AI programmer for a position at NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) that will focus on creating a complex earth system model emulator. Through the work of this position, SAIC will develop a seasonal to subseason (S2S) AI weather forecast model. The Scientific AI programmer will evaluate an existing emulator and develop a prototype for the S2S timescale. You will work collaboratively with federal, contractor, university, and private sector scientists and developers and with the scientific evaluation team to assess the readiness of the AI forecast model for operational use.
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This position requires an ability to obtain and maintain a Public Trust background investigation. This position is located in Princeton, NJ.Â
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Responsibilities include, but are not limited to:Â
- Evaluate the existing seasonal to decadal AI emulator prototype to determine its utility for S2S timescales
- Build an S2S AI emulator using SPEAR hindcasts, reanalysis, and other earth-system data for S2S forecastsÂ
- Determine the operational readiness of the S2S AI emulatorÂ
- Coordinate with federal, contractor, university, and private sector scientists to align variables and training frameworks with research objectives
- Deliver status updates through various communication channels such as team meetings and written reports
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We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
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