Senior ML Security Research Scientist — Adversarial AI

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); On-site; USD 140,000 - 200,000; Full time

Job summary

The Software Engineering Institute (SEI) at Carnegie Mellon University seeks a Senior Machine Learning Research Scientist to advance research on AI vulnerabilities and defenses within the Secure AI Lab. You will investigate threat models, publish impactful work, and transition capabilities to government sponsors while mentoring peers and guiding a national research agenda.

You will lead hands-on, interdisciplinary research in applied ML, collaborating with software developers, researchers, and

Qualifications

• Extensive knowledge of machine learning and AI security
• Experience researching AI robustness and defense strategies
• Ability to lead research projects and mentor junior staff
• Strong written and verbal communication, funding proposal experience

Responsibilities

• Identify and investigate emerging AI technologies.
• Publish original research on vulnerabilities in AI/ML algorithms.
• Apply existing research to real-world problems for government sponsors.
• Lead interdisciplinary teams to prototype operational capabilities.
• Mentor junior staff and contribute to the division’s research strategy.

Skills

Machine Learning

Adversarial ML

Team leadership

Collaboration

Mentoring

Education

PhD in CS/ML/EE

MS in CS/ML/EE

Bachelor's degree in CS/EE/Statistics

Job description

The Software Engineering Institute (SEI) at Carnegie Mellon University seeks a Senior Machine Learning Research Scientist to advance research on AI vulnerabilities and defenses within the Secure AI Lab. You will investigate threat models, publish impactful work, and transition capabilities to government sponsors while mentoring peers and guiding a national research agenda.

You will lead hands-on, interdisciplinary research in applied ML, collaborating with software developers, researchers, and