S2S AI Forecast Emulator Engineer

Saic; Princeton (NJ); On-site; USD 40,001 - 80,000; Full time

Job summary

SAIC is seeking an experienced Scientific AI programmer for a role at NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) in Princeton, NJ. The position focuses on creating a complex earth system model emulator and developing a seasonal to subseason (S2S) AI weather forecast model.

You will collaborate with federal, contractor, university, and private sector scientists to assess readiness for operational use.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline.
• Two years of experience in developing and training AI models using large data sets
• Four years of specialized experience in determining information technology effects on the organizational structure and determining the ability that IT can support/meet organizational goals.
• With a Master’s Degree (in the fields described in Min. Education above): two years experience
• With a PH.D. (in the fields described in Min. Education above).: no experience required
• With at least 8 years of specialized experience, a degree is not required.
• Proficient in Python Programming
• Experience managing projects with Git
• Strong interpersonal skills to support collaborative team environments

Responsibilities

• 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 forecasts
• Determine the operational readiness of the S2S AI emulator
• 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

Skills

Interpersonal skills

AI model training

Project management

Python programming

Git

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Business or related discipline

Master's degree in related field

PhD in related field

8+ years specialized experience (no degree required)

Tools

Python

Git

Job description

SAIC is seeking an experienced Scientific AI programmer for a role at NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) in Princeton, NJ. The position focuses on creating a complex earth system model emulator and developing a seasonal to subseason (S2S) AI weather forecast model.

You will collaborate with federal, contractor, university, and private sector scientists to assess readiness for operational use.