Senior Geospatial Computer Vision Engineer (TS/SCI)

MAXAR TECHNOLOGIES, INC.; Herndon, Northern (VA, KY); Hybrid; USD 185,000 - 228,000; Full time

Benefits offered by this job

401(k) with company match

Adoption reimbursement

Student loan repayment assistance

Pet insurance

Job summary

Vantor is seeking a Computer Vision engineer to build and deploy CV pipelines for GEOINT data, including image preprocessing, inference, and data storage. You will prototype AI/ML apps, evaluate CV methods, and integrate synthetic data workflows.

The role requires a TS/SCI clearance, a relevant BS, 5+ years CV experience, strong Python and geospatial skills, and familiarity with Docker/Kubernetes on Linux. Occasional travel to government sites may be required.

Qualifications

• U.S. citizen with active TS/SCI clearance required.
• BS in Data Science, Engineering, Math, Physics, CS, Image Science or related field.
• 5+ years developing, testing, and deploying CV models.
• Proficiency with Python data science stack and geospatial libraries.
• Experience with containers and Linux environments.

Responsibilities

• Experiment with novel CV models for GEOINT data.
• Design, develop, and deploy CV pipeline components.
• Explore synthetic and generative data applications for GEOINT.
• Transform data for AI/ML workflows and data stores.
• Stay updated on CV advances and present results to teams.

Skills

CV models

Python data stack

Geospatial libraries

Docker/Kubernetes

Linux environments

Communication

Education

BS in Data Science, Engineering, Math, Physics, Computer Science, Image Science or related field

Advanced degree (preferred)

Tools

YOLO

SSD

DetectNet

Numpy

Pandas

Job description

Vantor is seeking a Computer Vision engineer to build and deploy CV pipelines for GEOINT data, including image preprocessing, inference, and data storage. You will prototype AI/ML apps, evaluate CV methods, and integrate synthetic data workflows.

The role requires a TS/SCI clearance, a relevant BS, 5+ years CV experience, strong Python and geospatial skills, and familiarity with Docker/Kubernetes on Linux. Occasional travel to government sites may be required.