Machine Learning Engineer (TS/SCI)

Vantor Services; Herndon (VA); On-site; USD 116,000 - 169,000; Full time

Job summary

Vantor is seeking a self-motivated engineer to work on advanced AI/ML and computer vision initiatives using multi-INT data. You will contribute to ML pipelines, collaborate with cross‑functional teams, and develop analytics products that turn large geospatial datasets into actionable intelligence. A TS/SCI clearance and U.S.

citizenship are required. Ideal candidates have 5+ years of programming experience (Python/Java/C/C++), strong data science skills, and familiarity with ML frameworks such

Qualifications

• U.S. citizenship and active TS/SCI clearance required.
• 5+ years programming with Python/Java/C/C++ or TS/JS.
• BS in Statistics, Math, Data Science, CS, Engineering or related field.
• Strong Python data science & AI/ML stack experience.
• Experience with large datasets, ML life cycle, and governance.

Responsibilities

• Collaborate on AI/ML engineering teams to design and evaluate ML solutions using multi-INT data.
• Develop MLOps pipelines for CI/CD of computer vision models.
• Work with diverse engineers, clients, and users to deliver results.
• Create analytics products to extract actionable knowledge from data.
• Implement version control, reproducibility, and governance practices.

Skills

Python

Machine Learning

Data analysis

Geospatial data

Docker

Kubernetes

Git

TensorFlow

PyTorch

GeoPandas

GDAL

Education

B.S. in CS or related field

Tools

Docker

Kubernetes

Git

TensorFlow

PyTorch

GeoPandas

GDAL

Job 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
• 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 multiparadigm programming language (Python, Java, Go, Rust, etc.)

Pay Transparency:

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

• The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.

Benefits:

Vantor offers

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