Applied Computer Vision Engineer

Salary: $185,000 - 228,000 per year Requirements:

• We require U.S. citizenship and an active TS/SCI U.S. Government security clearance, with willingness to obtain a CI polygraph.
• We require a bachelors degree in Data Science, Engineering, Math, Physics, Computer Science, Image Science, or a related discipline.
• We look for 5+ years of experience developing, testing, and deploying computer vision models.
• We need strong familiarity with deep learning methods for computer vision, such as YOLO, SSD, and DetectNet.
• We expect proficiency with the Python data science ecosystem, including numpy, pandas, matplotlib, and sklearn.
• We require experience with Python geospatial libraries such as gdal, geopandas, and shapely.
• We look for hands-on experience with container platforms such as Docker, Kubernetes, OpenShift, or Cloud Foundry.
• We require comfort working in Linux-based environments.
• We need the ability to collaborate effectively with a geographically distributed team.
• We require occasional travel to government locations for customer meetings and demonstrations.
• We expect excellent communication skills, demonstrated through technical writing and public speaking.
• We value strong organizational ability and exceptional attention to detail.
• Preferred qualifications include an advanced degree in a relevant technical or scientific field.
• Preferred experience includes image generation models and platforms such as Stable Diffusion and Hugging Face.
• Preferred background includes synthetic training data creation.
• Preferred experience includes cloud platforms such as AWS or Azure and AI/ML integrations like SageMaker or IBM Watson Studio.
• Preferred experience includes remote sensing, GEOINT datasets, and government collection systems.

• We experiment with novel computer vision models applied to commercial and government GEOINT data.
• We design, build, and deploy multiple components of the computer vision pipeline, including preprocessing, inferencing, and data storage.
• We explore how synthetic data and generative AI outputs can be used with GEOINT data.
• We perform data engineering to convert diverse data types for different stages of the AI/ML workflow.
• We stay current on advances in computer vision from industry and academia and apply relevant innovations to customer mission challenges.
• We brief internal teams on delivery status, evaluation findings, and project obstacles.

• AI
• AWS
• Azure
• Cloud
• Cloud Foundry
• Computer Vision
• Docker
• IBM
• Support
• Kubernetes
• Linux
• OpenShift
• Python
• Security
• numpy
• pandas

More:

We are Vantor, where we are building the next frontier of spatial intelligence to help decision makers and operators understand what is happening now and prepare for what comes next. We offer a mission-driven environment for problem solvers and changemakers who want to make an impact. This role supports mission-critical GEOINT and computer vision work, and it requires U.S. citizenship plus an active TS/SCI clearance. The base salary range for this position is $185,000 to $228,000 depending on experience, qualifications, skills, and location. We also provide a competitive total rewards package that includes a robust 401(k) match, mental health support, student loan repayment assistance, adoption reimbursement, and pet insurance. We are an equal opportunity employer committed to an inclusive workplace where all qualified applicants are considered fairly.

last updated 40 week of 2026