AI Security Research Intern | Red Team & Forensics

Carnegie-Mellon-University; Pittsburgh (Allegheny County); Sur place; USD 25 000 - 39 000; Temps partiel

Résumé du poste

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

Responsabilités

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

Connaissances

Python

AI/ML fundamentals

Critical thinking

Problem solving

Collaboration

Formation

BS in CS/CE/Cybersecurity or related field

MS in computer science or engineering (pursuing)

Outils

PyTorch

TensorFlow

ART

Description du poste

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.