Applied Computer Vision Researcher (TS/SCI w/ CI Poly)

Company: Vantor
Location: Herndon
Posted on: February 2, 2026

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. 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 C omputer V ision (CV) researcher 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: 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. Minimum Qualifications: 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 Qualifications: 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. 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: $140,000.00 - $195,000.00 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 The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. 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.

Keywords: Vantor, Harrisonburg , Applied Computer Vision Researcher (TS/SCI w/ CI Poly), Science, Research & Development , Herndon, Virginia