Applied Computer Vision Engineer (TS/SCI)

Vantor•Herndon, VA

About The Position

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.

Requirements

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

Nice To Haves

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

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 types to 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