Senior AI Security Engineer: ML Prototypes & Red Teaming

Carnegie Mellon University; Pittsburgh (Allegheny County); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

8% employer retirement contribution

Tuition benefits for employees and dependents

Flexible work arrangements

Paid parental and military leave

Professional development opportunities

Job summary

Carnegie Mellon University is seeking a Senior AI Security Software Engineer to join the CERT Division of the Software Engineering Institute (SEI). This role focuses on developing machine learning-based prototypes for AI security applications while collaborating with researchers and applying software engineering best practices.

The ideal candidate will have a strong background in machine learning and cybersecurity, and will help shape the future of national security through innovative solutions. Join a world-class organization contributing to significant advancements in software and national security.

Qualifications

• Strong expertise in ML development and deployment.
• Experience with software engineering and system design.
• Ability to analyze large cybersecurity datasets.

Responsibilities

• Develop ML-based prototypes for AI security applications.
• Collaborate with researchers on experimental solutions.
• Apply software engineering best practices for scalable systems.
• Support AI red teaming and adversarial machine learning initiatives.

Skills

Machine learning development

Software engineering principles

Data processing and analytics

Cybersecurity best practices

Education

BS in computer science or related fields with 10 years experience

MS in related fields with 8 years experience

PhD in related fields with 5 years experience

Tools

Containerization

Microservices architectures

Job description

Carnegie Mellon University is seeking a Senior AI Security Software Engineer to join the CERT Division of the Software Engineering Institute (SEI). This role focuses on developing machine learning-based prototypes for AI security applications while collaborating with researchers and applying software engineering best practices.

The ideal candidate will have a strong background in machine learning and cybersecurity, and will help shape the future of national security through innovative solutions. Join a world-class organization contributing to significant advancements in software and national security.