Applied Computer Vision Engineer (TS/SCI)
Core
Building full-stack computer vision pipelines for geospatial intelligence (GEOINT) to solve mission-critical problems using commercial and government imagery.
Role type
Senior Applied Computer Vision Engineer
Builds
End-to-end CV workflows including image preprocessing, inferencing engines, data stores, and AI/ML applications for GEOINT.
Domain
Defense & Intelligence / Computer Vision / Geospatial Data
Deliverable
production ML models
Required skills
Deep learning algorithms (YOLO, SSD, DetectNet), Python data science stack, Python geospatial libraries (GDAL, GeoPandas, Shapely), Containerization (Docker, Kubernetes, OpenShift), Linux environments, Synthetic data generation, Generative AI models
Preferred skills
Image generation models (Stable Diffusion), Cloud platforms (AWS, Azure, SageMaker, IBM Watson Studio), Remote sensing datasets
Technologies
YOLO, SSD, DetectNet, numpy, pandas, matplotlib, sklearn, GDAL, GeoPandas, Shapely, Docker, Kubernetes, OpenShift, Cloud Foundry, AWS, Azure, SageMaker, IBM Watson Studio, Stable Diffusion, Hugging Face
Responsibilities
Experimenting with novel CV models on GEOINT data; Designing, developing, and deploying CV pipeline components; Exploring synthetic and generative AI data applications; Data engineering for AI/ML workflows; Staying updated on CV technical advances; Briefing teams on delivery progress and challenges
Seniority
Senior, hands-on IC