Vulnerability Analyst: AI Security & Vulnerability Research

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan with employer contrib.

Tuition benefits

Paid time off and holidays

Life and accidental death and dis./dis

Free Pittsburgh Regional Transit bus/4

Family Concierge Team

Fitness center access

Job summary

Carnegie Mellon University’s SEI in Arlington, VA, seeks a cybersecurity/AI research professional. You will apply state-of-the-art approaches to analyze vulnerabilities in software systems and develop ML-based prototypes to address AI-related security challenges.

The role emphasizes collaboration, translating research into practical capabilities, and contributing to threat modeling, vulnerability analysis, and security research across government sponsor projects.

Qualifications

• BS in computer science, machine learning, cybersecurity, or related field with eight (8) years of experience.
• MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience.
• You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings.
• You will be subject to a background investigation, and you must have the ability to obtain and maintain a Department of War security clearance.

Responsibilities

• Apply state-of-the-art approaches to understanding systemic vulnerabilities in software systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Evaluate the effectiveness of tools, techniques, and processes developed by industry and the security research community.
• Develop models, tools, and data sets that can be used to characterize the threats to—and vulnerabilities in—software systems, and publish those results.
• Develop machine learning-based prototypes, products, and tools to solve and automate solutions to AI-related security problems.
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team.

Skills

Cybersecurity

AI

Python

Vulnerability research

Statistical modeling

Research methods

Communication

Collaboration

Education

Bachelor's degree in computer science, machine learning, cybersecurity, or related discipline

Master's degree in the same fields

PhD in the same fields

Job description

Carnegie Mellon University’s SEI in Arlington, VA, seeks a cybersecurity/AI research professional. You will apply state-of-the-art approaches to analyze vulnerabilities in software systems and develop ML-based prototypes to address AI-related security challenges.

The role emphasizes collaboration, translating research into practical capabilities, and contributing to threat modeling, vulnerability analysis, and security research across government sponsor projects.