Expert EO Imagery

Geo Owl • Springfield, VA

1d • Onsite

About The Position

Every AI model that NGA deploys for computer vision missions must be independently accredited against real operational imagery before it goes into use. As the Expert EO Imagery Scientist and modality lead on AGAIM, you are the person who ensures the electro-optical side of that pipeline has the right imagery — identified, assessed, and prepared with the precision that rigorous AI testing demands. You will lead the EO team and set the technical standard for image identification, sensor assessment, and data preparation that supports one of the most consequential oversight programs in the intelligence community.

As the EO Lead, you are AGAIM's authoritative voice on electro-optical imagery. Working from model cards, data cards, and test procedures provided by the AGAIM government team, you'll determine what EO imagery is required for Level 3 AI accreditation testing — by modality, geography, resolution, and collection geometry — and direct the work to identify, assess, and pre-process it. You'll lead the EO team, collaborate closely with the SAR lead to ensure coincident coverage, and interface with the government customer on all EO-related technical requirements. This is a SCIF-based role performed at a contractor facility.

Requirements

• Active TS/SCI clearance with eligibility for SI/TK/G/HCS/NATO access; CI polygraph required or willingness to obtain
• Minimum 18 experience points required (see experience point calculation below)
• 4+ years as an EO expert with deep understanding of collection, phenomenology, image formation process, and exploitation products
• Experience exploiting the electromagnetic spectrum (electro-optical) to determine the occurrence and location of objects of interest
• Experience developing, testing, and evaluating algorithms and processes using EO imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar advanced processing tools
• Experience communicating EO imagery capabilities, methodologies, and products to both technical and non-technical audiences
• Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods

Nice To Haves

• Experience applying computer vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems

Responsibilities

• At the direction of the AGAIM government team, identify and acquire priority EO imagery necessary to conduct Level 3 AI model accreditation testing
• Conduct assessments of new and emerging EO sensor characteristics, capabilities, metadata, and data format differences compared to currently utilized platforms
• Determine acquisition pathways, latency factors, data formats, and security domain requirements for new EO data sources
• Define pre-processing and standardization requirements to transform EO data into states usable for labeling and model testing — file format conversion, tiling to pixel dimensions or geospatial boundaries
• Investigate sensor capability gaps and identify supplemental or coincident imagery sources; collaborate with SAR lead to provide EO imagery aligned with SAR temporal and geographic collection windows
• Perform imagery forecasting to anticipate future accreditation needs based on upcoming models and world operational developments
• Develop, test, and evaluate new EO algorithms and methodologies using advanced processing tools to advance AGAIM's accreditation capabilities
• Lead and technically mentor the EO team; be available during NGA core hours (10am–2pm EST) for government meetings and technical direction

Benefits

• Health Insurance (Geo Owl pays 80%+ of the premium)
• 401k matching
• Dental, Vision, and other supplemental insurance plans available
• Company-paid short-term and long-term disability and life insurance
• Peer-to-Peer spot bonuses
• 120 hours of PTO per year plus federal holidays
• Fully Paid Military Leave: You make your full Geo Owl salary while you are on military duty

What This Job Offers

• Job Type: Full-time
• Career Level: Senior