AI Security Research Intern - (September 2026 – May 2027)

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.

Position Summary

The Threat Analysis Directorate is a group of security experts focused on advancing the state of the art and practice for analyzing, assuring, and countering software systems to enhance National Security. The AI Security Research Intern will contribute to a variety of core functions including:

• AI Assurance
• Red Teaming of AI Systems
• AI Digital Forensics, Response, and Mitigation

Requirements:

• BS in Computer Science, Computer Engineering, Cybersecurity, or a related technical field and pursuing a MS in computer science or technical/engineering field
• Willingness to travel to various locations to support the SEI’s overall mission (including within the SEI and CMU community), unless travel interferes with DoW Cyber Service Academy (CSA) Scholar program activities at CMU.
• You will be subject to a background check and must be 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

Knowledge, Skills and Abilities:

• Ability to critically think and problem solve
• Understanding of AI/ML including Generative AI
• Basic proficiency with a programming language (preferably Python)
• Familiarity with common AI/ML software packages and tools (e.g. PyTorch, TensorFlow, ART)
• Ability to collaborate internally and externally with professional engineers and researchers
• Willingness to learn new technologies with cross-functional teams
• Knowledge of computer networking across multiple physical media
• Systems development skills to aid with the creation of new physical tools

Desired Experience:

• Experience with programming languages (preferably Python)
• Experience with red-teaming cyber and/or AI systems
• Basic understanding of cybersecurity concepts
• Experience with clearly documenting and communicating findings

Job Function Breakdown:

• AI Security Research and Development: 80%
• Documentation of Results: 20%

TOTAL = 100%

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Non-Exempt Graduate Students

Position Type

Student Worker – CMU student (Fixed Term)

Full Time/Part time

Part time

Pay Basis

Hourly

More Information: