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Principal SAR Imagery Scientist (AI/ML Validation) | TS/SCI
Xcellent Technology Solutions
📍
Springfield, United States
Location
Springfield
Posted
June 06, 2026
Commute
Local Area
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Job Description
Principal SAR Imagery Scientist (AI/ML Validation) | TS/SCI
Location: Springfield VA
Overview
Join a mission-critical effort at the forefront of AI assurance within GEOINT. Supporting NGA's Assurance and Governance (QA) office and the Accreditation of AI Models (AGAIM) program, this role is focused on ensuring that advanced AI and machine learning models are rigorously tested, validated, and ready for real-world intelligence operations.
As a Principal SAR Imagery Scientist, you will serve as a leading authority in Synthetic Aperture Radar (SAR), driving the evaluation and validation of AI/ML models against operational radar imagery. You will design and oversee testing methodologies that reflect real-world collection conditions, ensuring models perform reliably across diverse environments and mission scenarios. This role goes beyond analysis. You will apply deep expertise in SAR phenomenology, sensor physics, and image formation to assess model perf...
Location: Springfield VA
Overview
Join a mission-critical effort at the forefront of AI assurance within GEOINT. Supporting NGA's Assurance and Governance (QA) office and the Accreditation of AI Models (AGAIM) program, this role is focused on ensuring that advanced AI and machine learning models are rigorously tested, validated, and ready for real-world intelligence operations.
As a Principal SAR Imagery Scientist, you will serve as a leading authority in Synthetic Aperture Radar (SAR), driving the evaluation and validation of AI/ML models against operational radar imagery. You will design and oversee testing methodologies that reflect real-world collection conditions, ensuring models perform reliably across diverse environments and mission scenarios. This role goes beyond analysis. You will apply deep expertise in SAR phenomenology, sensor physics, and image formation to assess model perf...