AI Security Research Intern | Red Team & Forensics

Carnegie-Mellon-University

Pittsburgh (Allegheny County)

On-site

USD 25,000 - 39,000

Part time

9 days ago
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Job summary

Carnegie Mellon University’s Software Engineering Institute (SEI) in Pittsburgh is seeking an AI Security Research Intern to contribute to AI assurance, red-teaming, and related security research activities. This student worker role emphasizes collaboration with CMU researchers and engineers in a national security context.

The position is a part-time internship for Fall 2026 and Spring 2027, onsite at the SEI Pittsburgh office, with a focus on Python proficiency and basic AI/ML tooling.

Qualifications

  • BS in Computer Science, Computer Engineering, Cybersecurity, or a related technical field and pursuing a MS in computer science or a technical/engineering field
  • Willingness to travel to various locations to support the SEI’s mission (including within the SEI and CMU community)
  • Background check required; eligible to work in the United States without Visa sponsorship
  • Able to work an internship part-time during Fall 2026 and Spring 2027
  • Able to work onsite to the SEI Pittsburgh office

Responsibilities

  • AI Security Research and Development: contribute to AI assurance and red-teaming
  • Documentation of Results: record findings and results

Skills

Python
AI/ML fundamentals
Critical thinking
Problem solving
Collaboration

Education

BS in CS/CE/Cybersecurity or related field
MS in computer science or engineering (pursuing)

Tools

PyTorch
TensorFlow
ART

Job description

Carnegie Mellon University’s Software Engineering Institute (SEI) in Pittsburgh is seeking an AI Security Research Intern to contribute to AI assurance, red-teaming, and related security research activities. This student worker role emphasizes collaboration with CMU researchers and engineers in a national security context.

The position is a part-time internship for Fall 2026 and Spring 2027, onsite at the SEI Pittsburgh office, with a focus on Python proficiency and basic AI/ML tooling.

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