Senior AI Security Engineer — ML & Adversarial Tech

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

8% employer retirement contribution

Tuition benefits for employees and dep

Flexible work arrangements

Paid parental and military leave

Professional development opportunities

Relocation assistance

Job summary

Software Engineering Institute (SEI) at Carnegie Mellon University seeks a Senior AI Security Software Engineer to advance AI security and resilience for national cyber capabilities. You will develop ML-based prototypes and tools, collaborating with researchers and customers to translate research into practical security solutions.

You will work on AI red teaming, adversarial ML, and data analysis across large cybersecurity datasets, while applying software engineering best practices and scalable

Qualifications

• Ten years of experience with BS in CS/ML/Cybersecurity/Statistics, or eight years with MS, or five years with PhD.
• Understanding of software engineering principles and system design.
• Experience with containerization and microservices architectures.
• Travel to various locations to support the SEI’s mission (5%).

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.
• Support AI red teaming and adversarial machine learning initiatives.
• Translate research concepts into practical, operational capabilities.

Skills

Software engineering principles

System design

Containerization

Microservices architectures

Travel readiness

Education

BS in computer science / related field

Tools

Pipelines/ML tooling

Job description

Software Engineering Institute (SEI) at Carnegie Mellon University seeks a Senior AI Security Software Engineer to advance AI security and resilience for national cyber capabilities. You will develop ML-based prototypes and tools, collaborating with researchers and customers to translate research into practical security solutions.

You will work on AI red teaming, adversarial ML, and data analysis across large cybersecurity datasets, while applying software engineering best practices and scalable