Machine Learning Atmospheric Sciences Research Scientist

Job ID: 2616587

Location

New York, NY, US

Date Posted

2026-09-09

Category

Engineering and Sciences

Subcategory

Research Scientist

Schedule

Full-Time

Shift

Day Job

Travel

Yes - 10% of the time

Minimum Clearance Required

Interim_Secret

Clearance Level Must Be Able to Obtain

Secret

Potential for Remote Work

ORA_REMOTE

Description

SAIC has an opportunity for a Research Scientist to provide technical support services in applying Machine Learning to Navy Numerical Weather Prediction (NWP) development, and testing. Work shall be performed in accordance with all applicable DSRC usage policies, security requirements, and Government-furnished technical direction.

This position is a remote position.

Task 1: High-Resolution Machine Learning Weather Model Testing and NWP Reanalysis: Evaluate emerging high-resolution AI weather prediction systems (such as Atmo.ai) for Navy-relevant maritime environments, and develop a high-resolution, multi-year COAMPS-based regional weather reanalysis dataset over the Western Pacific to support model evaluation and scientific study.

Task 2: Navy Machine Learning Global Weather Model (Validation and Transition Effort): Fine-tune and transition a GraphCast-based global machine learning weather model into FNMOC operations, evaluate additional emerging ML weather models, and coordinate the development of a lightweight regional ML model to improve maritime decision-making and forecasting.

Task 3: Multiscale Predictability of Atmospheric Rivers and Air-Sea Interaction: Investigate the fundamental physical processes, air-sea fluxes, and boundary layer influences that affect the multiscale predictability of atmospheric rivers using advanced Navy prediction systems, machine learning models, and targeted field observations (e.g., dropsondes and buoys) to improve high-impact weather forecasting operational suitability of new observation sour