Technical SETA SME - Geospatial AI

M1 Technology • Bethesda, MD

14h • Onsite

About The Position

M1 Technology, LLC is seeking a Technical SETA SME - Geospatial AI to join one of our subsidiaries in Bethesda, Maryland. This role requires a TS/SCI with Polygraph clearance.

Requirements

• Bachelor’s degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
• 8 or more years of work experience
• Knowledge of AI/ML (computer vision, NLP, predictive analytics, LLMs)
• Understanding of data architectures and pipelines for large-scale analytics/GEOINT production
• Familiarity with AI governance, data quality, and mission assurance in operational settings
• Experience with R&D of spatiotemporal data, architectures, modeling, and/or machine learning algorithms
• Systems engineering and integration experience in complex, data-intensive environments
• Experience creating program plans, work breakdown structures, and milestone schedules

Nice To Haves

• Master’s degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with SIX (6) or more years of work experience
• PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience
• Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition
• Experience managing a multi-disciplinary R&D or T&E team
• Experience as a Project Manager or Deputy Project Manager
• Ability to proactively manage multiple, concurrent tasks
• Excellent writing and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources
• Excellent slide development and PowerPoint skills, with the ability to visually communicate complex ideas at a high level for technically savvy but non-expert audiences
• Strong organizational, problem-solving, and time-management skills; detail oriented

Responsibilities

• Knowledge of AI/ML (computer vision, NLP, predictive analytics, LLMs)
• Understanding of data architectures and pipelines for large-scale analytics/GEOINT production
• Familiarity with AI governance, data quality, and mission assurance in operational settings
• Experience with R&D of spatiotemporal data, architectures, modeling, and/or machine learning algorithms
• Systems engineering and integration experience in complex, data-intensive environments
• Experience creating program plans, work breakdown structures, and milestone schedules

What This Job Offers

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