Applied AI/ML Engineer (TS/SCI)
Core
Architect, develop, and integrate novel data science and AI/ML solutions for geospatial intelligence (GEOINT) and multi-INT data to solve mission-critical problems.
Role type
Senior IC Applied AI/ML Engineer (Geospatial/Defense)
Builds
Spatio-temporal ML models, data fusion pipelines, and hardware-based geospatial AI solutions for government clients.
Domain
Defense & Intelligence / Geospatial Analytics / Remote Sensing
Deliverable
production ML models
Required skills
spatio-temporal machine learning, data fusion, time series analysis, spatial trajectory analytics, state estimation, remote sensing, EO/SAR imagery processing, Python, PyTorch, TensorFlow, geospatial libraries (GDAL, GeoPandas)
Preferred skills
cloud platforms (AWS, Azure), multi-modal models, agentic workflows, compute hardware design
Technologies
Python, PyTorch, TensorFlow, NumPy, Pandas, Matplotlib, Scikit-learn, GDAL, GeoPandas, Shapely, AWS, Azure
Responsibilities
Architect and develop AI/ML solutions for spatio-temporal data and multi-INT inputs; Engineer data transformations for diverse modalities; Design geospatial AI solutions across hardware and software stacks; Mentor teams and advise on AI/ML strategies; Communicate technical results to government stakeholders.
Seniority
Senior, hands-on IC with strategic advisory