Applied Computer Vision Engineer (TS/SCI)

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 is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Do you have a head for numbers and enjoy being an integral part of solving mission‑critical, real‑world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We need a Computer Vision (CV) engineer to work on the full stack of the CV workflow, to include acquiring and standardization of imagery data, designing experiments and developing CV models, testing, evaluating various processes of the CV pipeline, and developing and prototyping AI/ML applications.

Responsibilities

• Experimenting with novel CV models applied to commercial and government GEOINT data
• Design, develop, and deploy multiple CV pipeline components (e.g., image preprocessing, inferencing engine, data store, etc)
• Exploring and understanding how synthetic data and generative AI data can be applied to commercial and government GEOINT data
• Data engineering to transform various data typesto support various phases of the AI/ML workflow
• Staying updated on recent CV technical advances from industry and academia and applying them to customer mission problems
• Briefing internal Vantor teams on delivery progress, evaluation results and project challenges

Minimum Qualifications

• US citizenship and a current 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, etc.)
• Competence with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.)
• Competence with Python's geospatial libraries, such as gdal, geopandas, shapely, etc.
• Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry, etc.)
• Competence with Linux environments
• Ability to work with a geographically distributed team
• Ability to travel occasionally to government sites for customer meetings and demonstrations
• Excellent communication skills, demonstrated through technical writing (proposals, white papers, academic publications) and speaking engagements (briefing larger groups, conference presentations, etc.)
• Organizational skills and excellent attention to detail

Desired Qualifications

• Advanced degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, image science or related field
• Competence with image generation models (Stable Diffusion, etc.) 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

Pay Transparency

In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job‑related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$185,000.00 - $228,000.00

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.