Machine Learning Engineer (TS/SCI)
Machine learning engineer on a geospatial-intelligence R&D program: designs, trains, and deploys AI/ML and computer-vision (ATR) models plus MLOps pipelines over multi-INT data. Requires US citizenship, an active TS/SCI clearance, and 5+ years programming with the Python ML and geospatial stack.
- Compensation
- $116K–$169.4K / yr
- Location
- Herndon, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- US citizenship and current TS/SCI clearance (willingness to get a CI Polygraph)
- 5+ years of programming experience with at least one general purpose 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/AI-ML stack (pytorch, tensorflow, numpy, pandas, matplotlib, sklearn) and geospatial libraries (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
Nice to have
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities
- Experience designing, developing, and deploying AI-native software products from large-scale geospatial data
- Demonstrated software development experience (design, development, implementation)
- Experience developing and deploying a variety of AI/ML or computer vision models across diverse data types
- Experience with containerization and orchestration (Docker, Kubernetes) in cloud or hybrid environments
- Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines
- Proficiency in Linux-based environments
- Proficiency in one multiparadigm programming language (Python, Java, Go, Rust, etc.)
Full description
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