Applied Geospatial ML Engineer
Core
Design, implement, and evaluate machine learning solutions for geospatial intelligence (GEOINT) and multi-INT data to solve mission-critical government challenges.
Role type
Senior IC Applied Geospatial ML Engineer
Builds
Geospatial AI/ML solutions, semantic activity detection models, and hardware-based analytical tools for government clients.
Domain
Defense & Intelligence / Geospatial Analytics / Remote Sensing
Deliverable
production ML models
Required skills
Low-shot learning, robust ML, spatial trajectory analytics, remote sensing data processing, EO/SAR imagery analysis, CI/CD, Linux environments
Preferred skills
Advanced degree in Data Science/Engineering/Math/Physics/CS, Python data science stack (numpy, pandas, sklearn), geospatial libraries (gdal, geopandas, shapely), compute hardware design
Technologies
AWS, Azure, SageMaker, Watson Studio, Linux
Responsibilities
Design and integrate novel AI/ML models for geospatial analytics and signal processing; Engineer and transform diverse data types for the AI/ML workflow; Provide subject matter expertise and strategic advice on AI/ML trends; Communicate technical progress and risks to government clients and leadership.
Seniority
Senior, hands-on IC with strategic advisory duties