AI/ML Security Specialist - Junior, Mid-Level & Senior [U.S. Citizenship Required]

Via Logic LLC•Ashburn, VA

5d•$90,000 - $139,000•Onsite

About The Position

Via Logic is hiring AI/ML Security Specialists at junior, mid-level, and senior levels to evaluate AI applications, identify vulnerabilities, and strengthen defenses supporting U.S. Customs and Border Protection. The role contributes to adversarial testing, operational security assessments, and practical recommendations for securing AI implementations. It also involves assessing how attackers could use AI capabilities against existing systems and identifying ways to improve defenses. The position is primarily onsite at a government site in Ashburn, Virginia. Candidates must be U.S. citizens and meet and maintain the background investigation, suitability, and any security clearance requirements applicable to the assignment. Specific worksite, schedule, suitability, and clearance expectations will be confirmed for the assignment. The task lists weekday core coverage of 8:30 a.m.–5:00 p.m. The role is full-time, W-2, with annual compensation of $90,000–$139,000 depending on experience, qualifications, and assignment. Anticipated ranges are $90,000–$112,000 for junior, $108,000–$130,000 for mid-level, and $117,000–$139,000 for senior candidates. Experience thresholds are 2+ years for junior, 5+ years for mid-level, and 7+ years for senior, subject to assignment requirements.

Requirements

U.S. citizenship.
Meet and maintain the background investigation, suitability, and any security clearance requirements applicable to the assignment.
Availability to work onsite at a government site in Ashburn, Virginia.
Relevant professional experience in cybersecurity, application security, security testing, AI/ML security, or a closely related technical discipline.
Hands-on experience assessing technical systems or applications for vulnerabilities and explaining their potential impact.
Understanding of AI/ML concepts and how security risks can arise across models, data, applications, and supporting infrastructure.
Ability to develop or execute repeatable tests, analyze results, and document findings.
Experience translating technical findings into practical security controls or remediation recommendations.
Clear technical writing and communication skills.
Ability to collaborate with engineers, security teams, and government stakeholders.
Junior level: 2+ years of relevant experience; able to support defined testing activities, analyze results, and document findings with guidance.
Mid-level: 5+ years of relevant experience; able to independently execute assigned testing, evaluate risks, and recommend corrective actions.
Senior level: 7+ years of relevant experience; able to address complex security assessments and AI/ML risks, help shape testing methods, evaluate defensive approaches, and guide others through findings and remediation.

Nice To Haves

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.
Experience assessing AI/ML applications or conducting AI adversarial testing.
Experience evaluating threats such as prompt injection, sensitive-data exposure, adversarial inputs, or data poisoning.
Scripting or programming experience used to automate testing, analyze results, or reproduce security findings.
Experience developing security testing plans, assessment reports, or operating procedures.
Experience supporting federal cybersecurity programs.

Responsibilities

Test and evaluate AI applications and implementations to identify security vulnerabilities and operational risks.
Conduct authorized adversarial testing under the direction of government stakeholders.
Assess AI/ML models and applications for security weaknesses, adversarial threats, and data privacy concerns.
Review existing cyber defenses to identify potential exposure to AI-assisted attacks.
Recommend and help implement security controls and defensive measures addressing identified risks.
Develop and maintain testing plans, methods, and standard operating procedures.
Document testing results, supporting evidence, and actionable recommendations for corrective action.
Communicate findings clearly to technical teams, government stakeholders, and decision-makers.
Support secure AI/ML implementation practices and contribute to security guidance addressing emerging risks.
Perform work in accordance with applicable government policies, standards, and approved testing procedures.