Geospatial AI Tech SME | TS/SCI Poly | R&D Architect

M1 Technology; Bethesda (MD); On-site; USD 150,000 - 190,000; Full time

Job summary

M1 Technology, LLC in Bethesda, MD, seeks a Technical SETA SME - Geospatial AI to support one of our subsidiaries. The role requires TS/SCI clearance with polygraph and a strong background in geospatial AI and systems engineering.

The ideal candidate has a PhD or Masters preferred, 8+ years of experience in AI/ML, data architectures, and R&D of spatiotemporal data, with ability to manage multi-disciplinary teams and deliver program plans.

Qualifications

• Bachelor’s degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
• 8 or more years of work experience, including AI/ML knowledge, 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

Skills

AI/ML knowledge

Data architectures

GEOINT data pipelines

AI governance

Spatiotemporal R&D

Systems engineering

Program planning

Milestone scheduling

Data architectures

Education

Bachelor’s degree in physics, mathematics, computer science, or relevant engineering fields

Master’s degree in physics, mathematics, computer science, or relevant engineering fields

PhD in physics, mathematics, computer science, or relevant engineering fields

Job description

M1 Technology, LLC in Bethesda, MD, seeks a Technical SETA SME - Geospatial AI to support one of our subsidiaries. The role requires TS/SCI clearance with polygraph and a strong background in geospatial AI and systems engineering.

The ideal candidate has a PhD or Masters preferred, 8+ years of experience in AI/ML, data architectures, and R&D of spatiotemporal data, with ability to manage multi-disciplinary teams and deliver program plans.