Computer Vision Engineer

Requirements

Must have:

- We require U.S. citizenship and an active TS/SCI security clearance, with willingness to pursue a CI Polygraph.

• We need a bachelors degree in Data Science, Engineering, Math, Physics, Computer Science, Image Science, or a closely related discipline.
• We require 5+ years of experience developing, testing, and deploying computer vision models.
• We expect strong familiarity with deep learning methods for computer vision, including YOLO, SSD, and DetectNet.
• We need proficiency with the Python data science ecosystem, including numpy, pandas, matplotlib, and sklearn.
• We require working knowledge of Python geospatial libraries such as gdal, geopandas, and shapely.
• We expect 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 written and verbal communication skills, including technical writing and public briefing experience.
• We require strong organizational ability and exceptional attention to detail.
• We prefer an advanced degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, Image Science, or a related field.
• We value experience with image generation models and platforms such as Stable Diffusion and Hugging Face.
• We prefer prior work in synthetic training data generation.
• We value experience with cloud platforms such as AWS or Azure and AI/ML tools like SageMaker or IBM Watson Studio.
• We prefer experience with remote sensing, GEOINT datasets, and government collection platforms.

Responsibilities:

- We experiment with innovative computer vision models applied to commercial and government GEOINT data.

• We design, develop, and deploy components across the full CV pipeline, including preprocessing, inferencing, and data storage.
• We investigate how synthetic data and generative AI data can be used with GEOINT data sources.
• We perform data engineering to convert diverse data types in support of the AI/ML workflow.
• We stay current on advances in computer vision from industry and academia and apply relevant methods to mission problems.
• We brief internal teams on delivery status, evaluation findings, and project risks or challenges.
• We work across the full stack of the computer vision workflow, from imagery acquisition and standardization through model experimentation and prototyping AI/ML applications.

Company:

We are Vantor, a mission-driven company building the new frontier of spatial intelligence to help decision makers and operators understand what is happening now and prepare for what comes next. We bring together problem solvers, changemakers, and go-getters who want to make an impact on real-world, mission-critical challenges. This role is fully focused on GEOINT and computer vision work, and it requires U.S. citizenship plus an active TS/SCI clearance.

We offer a competitive total rewards package that includes a robust 401(k) match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance. The base salary for this position is $185,000 to $228,000 depending on experience, qualifications, skills, and location. We are an equal opportunity employer and value an inclusive workplace where every team member is respected and encouraged to contribute.