Imagery Scientist - Electro-optical (EO)

About the role

Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission-ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, cutting-edge cyber defense, and intelligence analysis. We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcome-based, delivering results in weeks rather than months whenever possible. At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements. Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nation’s most critical projects. Bridge Defense is seeking several Imagery Scientist - Electro-optical (EO) for full-time salaried positions supporting an Intelligence Community partner. These positions are currently planned for first shift.

Clearance: TS/SCI Clearance (with CI Poly, or willingness to sit for CI Poly). Location: Alexandria, VA; On‑Site.

Responsibilities

• Provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.
• Leverage multi-INT data, with an emphasis on EO, to curate imagery from the emergent sensors; curated imagery will be prioritized for creation of labeled data to support the model evaluation and accreditation.
• Curated imagery should have objects of interest or