Senior AI/ML Security Engineer

Markesman Group

  • Fort Meade, Maryland
  • 30+ days ago

    Highlights

    This role focuses on identifying vulnerabilities, conducting red-team assessments, and analyzing model behavior to understand potential security risks and operational impacts. The AI / ML Security Engineer will support the evaluation, testing, and security assessment of machine learning systems, including large language models (LLMs).

    Numbers & Facts

    LocationFort Meade, Maryland

    Description

    Position: AI / ML Security Engineer (Senior)

    Clearance: TS/SCI CI-POLY
    Location: Fort Meade, MD
    Schedule: Monday-Friday, Day Shift

    Role Overview

    The AI / ML Security Engineer will support the evaluation, testing, and security assessment of machine learning systems, including large language models (LLMs). This role focuses on identifying vulnerabilities, conducting red-team assessments, and analyzing model behavior to understand potential security risks and operational impacts. The position combines machine learning, cybersecurity, and intelligence analysis to support mission-focused AI initiatives.

    What You'll Do

    • Conduct security assessments and red-team evaluations of AI and ML systems, including LLMs
    • Develop automated testing and evaluation frameworks using Python
    • Identify model vulnerabilities, failure modes, data leakage, and other security concerns
    • Analyze AI/ML outputs and document findings for technical and non-technical stakeholders
    • Support deployment and testing of AI systems in Linux and containerized environments
    • Collaborate with intelligence analysts and technical teams to assess operational risks
    • Provide recommendations to improve the security and resilience of AI-enabled systems
    • Support development of AI security strategies and testing methodologies

    Required Experience

    • Experience with Python development and automated testing
    • Experience working in Linux environments and with containerization technologies such as Docker
    • Experience conducting security assessments, red-team activities, or vulnerability testing
    • Ability to evaluate AI/ML system behavior and identify security risks
    • Ability to communicate technical findings and risk assessments clearly
    • TS/SCI with Polygraph
    • Bachelor's degree and 3+ years of AI/ML experience, or 6+ years of related experience in lieu of a degree

    Preferred Experience

    • Experience red-teaming large language models (LLMs)
    • Experience with AI/ML security testing and model evaluation
    • Experience applying AI security findings to intelligence or operational workflows
    • Knowledge of enterprise AI security tools and platforms
    • Familiarity with anomaly detection, data fusion, or advanced analytics techniques
    • Experience supporting DoD or Intelligence Community missions
     

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