AI Security Engineer — ML & Adversarial AI Systems

Carnegie Mellon University; Arlington (VA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Tuition benefits for employees and dep

Relocation assistance

Flexible work arrangements

Job summary

Carnegie Mellon University’s CERT Division seeks an AI Security Software Engineer to develop ML-based tools for AI security applications. You will collaborate with researchers and stakeholders to design scalable systems and to analyze large cybersecurity datasets, supporting red-teaming and adversarial ML efforts.

The role requires advanced degrees or equivalent experience, strong software engineering foundations, and the ability to travel up to 5% to sponsor sites and CMU locations.

Qualifications

• 8+ years of experience with a BS in CS/ML/Cybersecurity/Statistics
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Willingness to travel up to 5% to SEI/CMU sites for mission support
• Background check required and DoW security clearance eligibility

Responsibilities

• Develop ML-based prototypes, tools, and systems for AI security applications
• Collaborate with researchers to design and execute experimental AI security solutions
• Apply software engineering best practices to build scalable, maintainable systems
• Process and analyze large cybersecurity datasets using analytical skills
• Support AI red teaming and adversarial ML initiatives
• Translate research concepts into practical capabilities and work both independently and in teams

Skills

Software engineering principles

System design

Containerization & microservices

Background check eligibility

Education

BS in computer science / ML / cybersecurity / statistics

MS in same fields (5 years exp)

PhD in same fields (2 years exp)

Job description

Carnegie Mellon University’s CERT Division seeks an AI Security Software Engineer to develop ML-based tools for AI security applications. You will collaborate with researchers and stakeholders to design scalable systems and to analyze large cybersecurity datasets, supporting red-teaming and adversarial ML efforts.

The role requires advanced degrees or equivalent experience, strong software engineering foundations, and the ability to travel up to 5% to sponsor sites and CMU locations.