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.
The goal of this R&D program is to identify, mature, and operationalize advanced artificial intelligence, machine learning (AI/ML), and computer vision capabilities that rapidly address mission needs. The solution best-of-breed industry capabilities to deliver scalable, high-performance AI/ML and Automatic Target Recognition (ATR) solutions. This effort drives collaboration across R&D programs, accelerating technology transition, enterprise adoption, and customer mission impact.
We want a self-motivated engineer who is comfortable digging into data, trying innovative approaches, and isn't afraid to fail fast and move on to other techniques/ideas.
Responsibilities:
Contribute to multi-disciplinary AI/ML engineering teams to design, implement, and evaluate machine learning solutions that leverage multi-INT data
Contributes to the design, development, and implementation of Machine Learning Operations pipelines for continuous integration and deployment of computer vision models.
Collaborate with diverse teams of engineers, clients, and users
Develop analytics/derivative data products to help users extract meaningful knowledge
Implement best practices for version control, model reproducibility, and governance.
Minimum Qualifications:
US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph).
5+ years of programming experience with at least one general purpose programming language (Python, Typescript, Java, C/C++)
B.S. in Statistics, Math, Data Science, Computer Science, Engineering, Physics, or related field
Proficiency with the Python data science and AI/ML stack (e.g., pytorch, tensorflow, numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
Experience with data extraction, manipulation, visualization, and analysis of large datasets
Strong understanding of machine learning principles and model lifecycle management.
Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges
Preferred Qualifications :
Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously
Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.
Demonstrated experience in software development, including design, development, and implementation
Experience designing, developing, testing, and deploying a wide variety of AI/ML or CV models across diverse data types
Experience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments
Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines
Proactive approach to trouble shooting and problem-solving issues
Proficiency in Linux-based environments
Proficiency in one…