Senior Computer Vision Engineer — Geospatial AI Pipelines

Vantor Inc.; Herndon (VA); On-site; USD 185,000 - 228,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Inc. is seeking a Computer Vision engineer to work on the full stack of the CV workflow for GEOINT data.

You will design, develop, and deploy CV pipeline components, including preprocessing, inference, and data storage, while exploring synthetic data approaches for government and commercial data. The role requires a TS/SCI clearance with CI Polygraph willingness, a strong background in deep learning for computer vision, and collaboration across distributed teams.

Qualifications

• US citizenship and TS/SCI clearance with willingness to get a CI Polygraph.
• B.S. in Data Science, Engineering, Math, Physics, Computer Science, Image Science or related field.
• 5+ years developing, testing, and deploying CV models.
• Competence with deep learning algorithms for computer vision (YOLO, SSD, DetectNet).
• Competence with Python data science stack (numpy, pandas, matplotlib, sklearn).
• Competence with Python's geospatial libraries (GDAL, GeoPandas, Shapely).
• Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry).
• Competence with Linux environments.
• Ability to travel occasionally to government sites for meetings and demonstrations.
• Excellent communication skills, demonstrated through technical writing and presentations.

Responsibilities

• Experimenting with novel CV models applied to GEOINT data
• Design, develop, and deploy CV pipeline components (image preprocessing, inferencing engine, data store)
• Exploring and understanding how synthetic data and generative AI data can be applied to GEOINT data
• Data engineering to transform various data types to support AI/ML workflow
• Staying updated on recent CV advances and applying them to customer mission problems
• Briefing internal teams on delivery progress, evaluation results and challenges

Skills

US citizenship

TS/SCI clearance

Strong communication

Team collaboration

Education

B.S. in Data Science, Engineering, Math, Physics, Computer Science, Image Science or related field

Tools

Docker

Kubernetes

OpenShift

AWS

Azure

GDAL

GeoPandas

Shapely

Job description

Vantor Inc. is seeking a Computer Vision engineer to work on the full stack of the CV workflow for GEOINT data.

You will design, develop, and deploy CV pipeline components, including preprocessing, inference, and data storage, while exploring synthetic data approaches for government and commercial data. The role requires a TS/SCI clearance with CI Polygraph willingness, a strong background in deep learning for computer vision, and collaboration across distributed teams.