Vulnerability Analyst: AI & Cybersecurity Research

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Software Engineering Institute (SEI) at Carnegie Mellon University is seeking researchers in cybersecurity, AI, and automation to advance state-of-the-art in software security. You will study systemic vulnerabilities, develop ML-based tools, and translate research into practical capabilities for national security contexts.

Requirements include advanced degrees with relevant years of experience; willingness to travel; and ability to obtain a DoD security clearance.

Qualifications

• Advanced AI/ML research with hands-on engineering
• Experience in vulnerability research and analysis
• Strong understanding of cybersecurity fundamentals and internet technologies

Responsibilities

• Apply state-of-the-art approaches to understanding systemic vulnerabilities in software systems
• Develop models, tools, and data sets to characterize threats and vulnerabilities
• Develop ML-based prototypes and tools to solve AI-related security problems
• Translate research concepts into practical, operational capabilities within a collaborative team

Skills

AI/ML engineering

Vulnerability research

Security fundamentals

Python development

Collaboration

Education

PhD in CS/related fields

MS in CS/related fields

BS in CS/related fields

Job description

Software Engineering Institute (SEI) at Carnegie Mellon University is seeking researchers in cybersecurity, AI, and automation to advance state-of-the-art in software security. You will study systemic vulnerabilities, develop ML-based tools, and translate research into practical capabilities for national security contexts.

Requirements include advanced degrees with relevant years of experience; willingness to travel; and ability to obtain a DoD security clearance.