AIML Security Specialist (R-00247)
Ashburn, IL - USA
Job Summary
True Zero is seeking an experiencedAI/ML Cybersecurity Specialistto support the security assessment operational testing and protection of artificial intelligence and machine learning systems within a federal environment. This role will focus on identifying vulnerabilities in AI/ML applications conducting adversarial testing evaluating security risks and developing defensive strategies to strengthen the organizations cybersecurity posture. The ideal candidate will possess a strong background in cybersecurity hands-on experience with AI/ML security testing and the ability to communicate technical findings and actionable recommendations to federal stakeholders.
- Conduct Operational Testing and Evaluation (OT&E) of AI/ML applications models and supporting infrastructure to identify security vulnerabilities operational risks and potential attack vectors.
- Perform adversarial AI/ML security assessments including model evasion data poisoning model extraction adversarial manipulation and model inversion testing.
- Evaluate existing cybersecurity defenses and identify weaknesses that could be exploited through AI-enabled attacks recommending appropriate mitigation strategies and security controls.
- Design implement and evaluate defensive security measures to protect AI/ML models training data inference pipelines and deployed applications against emerging threats.
- Develop detailed technical assessment reports documenting vulnerabilities testing methodologies risk severity and actionable remediation recommendations.
- Create and maintain Standard Operating Procedures (SOPs) security testing plans threat models and repeatable methodologies for AI/ML security evaluations.
- Collaborate with cybersecurity engineers AI/ML developers technical leads and federal stakeholders to integrate security best practices throughout the AI/ML development and deployment lifecycle.
- Ensure AI/ML security assessments testing procedures and defensive implementations align with DHS CBP NIST and applicable federal cybersecurity policies and standards.
- Demonstrated experience in cybersecurity engineering security assessments or penetration testing with a strong focus onAI/ML security adversarial machine learning and model evaluation.
- Strong understanding of AI/ML architectures machine learning algorithms large language models (LLMs) model training pipelines and secure deployment practices.
- Hands-on experience identifying and evaluating AI-specific security vulnerabilities includingprompt injection adversarial examples data poisoning model extraction model inversion and evasion attacks.
- Experience conducting penetration testing vulnerability assessments red teaming or Operational Testing and Evaluation (OT&E) of software applications AI/ML models or supporting infrastructure.
- Proficiency with Python and familiarity with AI/ML frameworks such asPyTorch TensorFlow or scikit-learn along with security testing tools and adversarial assessment methodologies.
- Knowledge of federal cybersecurity requirements and security frameworks includingNIST AI Risk Management Framework (AI RMF) NIST SP 800-53 NIST Cybersecurity Framework and applicable DHS/CBP security policies.
- Experience developing technical assessment reports threat models security testing methodologies remediation recommendations and Standard Operating Procedures (SOPs).
- Strong analytical problem-solving and written and verbal communication skills with the ability to present complex technical findings and security recommendations to federal stakeholders engineering teams and technical leadership.
Required Experience:
IC
About Company
True Zero specializes in creating cybersecurity programs and software solutions that enable agency leaders to run a proactive defense, with better intelligence and more efficient collaboration.