Vantor · 22 hours ago
Applied Computer Vision Researcher (TS/SCI w/ CI Poly))
Herndon, VA
Full-time
Hybrid
Senior Level
$140K/yr - $195K/yr
5+ years expVantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The role involves working on the full stack of the computer vision workflow, including acquiring imagery data, designing experiments, and developing AI/ML applications to solve complex challenges in geospatial intelligence.
Software
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Build advanced analytics and computer vision solutions using open-source and government GEOINT data
Develop and apply machine learning, automation, and custom applications to national security missions
Work on a unique, end-to-end predictive analytics platform supporting real-world mission outcomes
Experiment with novel CV models, synthetic data, and generative AI for geospatial intelligence use cases
Engineer and transform diverse data types across the full AI/ML lifecycle
Apply emerging research from industry and academia to solve customer mission problems
Collaborate with internal teams and brief progress, results, and technical challenges
Operate in a mission-first, business-casual environment that values learning, growth, and social responsibility
Qualification
Required
U.S. citizenship with a current TS/SCI clearance and willingness to obtain a CI polygraph
Bachelor's degree in data science, Engineering, Math, Physics, Computer Science, or a related field, plus 5+ years developing, testing, and deploying computer vision models
Experience with deep learning algorithms for image science, including YOLO, SSD, DetectNet, and similar architectures
Proficiency with the Python data science stack (numpy, pandas, matplotlib, sklearn, etc.)
Proficiency with Python geospatial libraries such as GDAL, GeoPandas, Shapely, and related tools
Experience working in Linux environments and with containerization platforms such as Docker, Kubernetes, OpenShift, or Cloud Foundry
Ability to work effectively with geographically distributed teams
Willingness to travel occasionally to government sites for customer meetings and demonstrations
Strong communication, organizational skills, and attention to detail, demonstrated through technical writing and verbal briefings
Preferred
Advanced degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or related field
Competence with image generation models and platforms (Hugging Face, etc.)
Experience working with synthetic training data generation
Experience working with cloud-based platforms (AWS, Azure, etc.) and integrating AI/ML capabilities (SageMaker, IBM Watson Studio, etc.)
Experience with remote sensing, GEOINT datasets, and government collection platforms
Benefits
A robust 401(k) with company match
Mental health resources
Unique perks like student loan repayment assistance
Adoption reimbursement
Pet insurance
Company
Vantor
A spatial intelligence firm.
1001-5000 employees
Funding
Current Stage
Late StageRecent News
Business Standard India
2025-12-27
2025-12-26
Company data provided by crunchbase