Applied Computer Vision Engineer (TS/SCI)

Vantor Services•Herndon, VA

About The Position

Vantor is seeking a Computer Vision (CV) engineer to work on the full stack of the CV workflow. This includes acquiring and standardizing imagery data, designing experiments, developing CV models, testing and evaluating various processes of the CV pipeline, and developing and prototyping AI/ML applications. The role involves working with geospatial intelligence (GEOINT) data and requires innovative approaches to integrate bespoke capabilities and tools to solve complex customer challenges. The position is for individuals with a strong aptitude for numbers and a desire to solve mission-critical, real-world problems.

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