Applied Geospatial ML Engineer

Requirements

• Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently.
• Government Security Clearance at the TS/SCI level.
• We’re seeking an experienced AI/ML engineer to work across the full analytical workflow—from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.
• Responsibilities: Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions Engineer and transform diverse data types to support all phases of the AI/ML workflow Architect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision) Design, implement, and assess various geospatial AI/ML solutions across hardware and
• Qualifications : Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
• B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types Minimum 2 years of
• experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
• Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
• Experience with modern development practices, including version control, and CI/CD Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail Competence with Linux environments Preferred
• Qualifications : Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related field Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
• Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.