Expert EO Imagery

About the role

As the Expert EO Imagery Scientist and modality lead on program, 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.

The Imagery Scientist is the subject matter expert on their respective imagery modality (e.g., Electro-Optical). They shall provide technical direction and conduct the work necessary to acquire and prepare imagery of the necessary quality, standards, and requirements provided by the Government.

Responsibilities

• Review model cards and test documentation from program; assess what EO imagery — by modality, geographic area, resolution, and look angle — is required to support Level 3 testing for each model
• Assess emerging EO sensors: evaluate differences in collection characteristics, phenomenology, metadata formats, and schema changes compared to currently utilized platforms
• Define pre-processing requirements: file format conversions (e.g., PNG, NITF), tiling to specified dimensions or geospatial bounds, and ETL adaptations needed for new sensor integration
• Coordinate with the SAR Imagery Scientist Lead to provide coincident EO imagery aligned with SAR collection areas and temporal windows
• Perform imagery forecasting: anticipate upcoming accreditation testing needs by monitoring the incoming model pipeline and relevant world operational developments
• Lead and technically mentor the EO team; be available during Government core hours (10am–2pm EST) for government meetings and technical direction

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
• 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

Qualifications

In addition to the requirements, preferred qualifications include experience applying computer vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems.

Skills

• Python
• MATLAB
• Google Earth Engine
• EO Phenomenology
• NIIRS
• PNG / NITF
• ETL / Data Pipelines
• Orthorectification
• Computer Vision
• ML Techniques

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