Scientific AI Programmer

SAIC

Scientific AI Programmer developing complex earth system model emulators for NOAA’s GFDL. Evaluating existing AI prototypes and collaborating with diverse scientific teams.

Posted 7/30/2026full-timePrinceton • New Jersey • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and training AI models using large datasets, with proficiency in Python programming and experience in High-Performance Computing environments. Capable of coordinating with diverse teams to align research objectives and deliver project updates effectively.

Highest-signal resume keywords

Python ProgrammingAI Model DevelopmentProject Management with GitHigh-Performance Computing (HPC)NetCDF and Zarr Datasets

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model TrainingData AnalysisSoftware DevelopmentStatistical ModelingMachine Learning

Soft Skills

Interpersonal SkillsCollaborationCommunication

Tools & Technologies

GitSlurmMLOps ToolsObject StorageTraditional Disk Environments

Industry Keywords

Earth-System DataS2S ForecastsOcean ProcessesAtmosphere ProcessesClimate and Weather Processes

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
A 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
Basic knowledge of ocean, atmosphere and/or climate and weather processes or a related science.
Experience with object storage and traditional disk environments
Experience using NetCDF and Zarr datasets
Familiarity with High-Performance Computing (HPC) environments and batch queuing systems like Slurm.
Experience with modern AI-assisted coding workflows and/or MLOps tools to accelerate development cycles.

Benefits

Comp & perks

This position requires an ability to obtain and maintain a Public Trust background investigation.