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Job · Pittsburgh, PA · Full time

AI Security Research Intern – Summer 2027

Carnegie Mellon University · $2.50B budget · 16,745 staff · Since 1900

Why Carnegie Mellon University

FY2024 · Form 990Its mission and biggest programs, as filed

Provides higher education and research, supported by essential campus services.

  • Instruction: Carnegie Mellon is a hybrid of a technical institute, fine-arts conservatory and traditional research University, having evolved in response to emerging social needs and intellectual development of the past century. Uniting technology and arts, fusing the practical with the…$1.05B spent in FY2024
  • Research: Carnegie Mellon holds a proud vision of itself as a distinctive and different kind of research University where nationally recognized programs from across the leading disciplines, from computing and engineering to fine arts, intersect. IT is a decentralized community…$458.3M spent in FY2024
  • Auxiliary services: services to support the instruction and research functions of the University. These services include but are not limited to housing, dining services, parking, bookstore, printing, telecommunications, and other services related to the delivery of education and research.$162.1M spent in FY2024

Before you apply

FY2023 · Form 990Independent: from IRS data, not the org
Pays its leaders
$513K–$2.7M
12 officers reported
Fine: from the org's Form 990.
Pt VII · Sec A
Budget
$1.78B
spent in FY2023
Fine: from the org's Form 990.
Pt I · Ln 18
Staff
16,745
employees
36 volunteers
Fine: from the org's Form 990.
Pt I · Ln 5–6
Spent on programs
89%
of spending
Looks good: 89% of spending went to programs; 75% or more.
Pt IX · Ln 25 · col B
Surplus or deficit
+11%
of revenue, FY2023
Looks good: revenue was at least expenses in the latest filing.
Pt I · Ln 19
Cash reserves
40 mo
of spending, in cash and securities
Looks good: 39.6 months of spending in cash; 3 or more.
Pt X · Ln 1–2 · Pt I · Ln 18
Latest return
FY2023
latest Form 990
Fine: the latest return is for FY2023, 3 tax years back; within 3 tax years.
IRS e-file
IRS status
501(c)(3)
tax-exempt since 1992
Looks good: listed by the IRS.
IRS BMF
Looks goodFineWorth a lookConcernTap a box for the reason.

About the role

The org's own posting, as written

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

You will work as a part of the Threat Analysis Directorate within CERT and will collaborate with 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 . You will investigate and evaluate AI systems to contribute to our core functions: AI Assurance, Red Teaming of AI Systems, and AI Digital Forensics, Response, and Mitigation. You will take part in project reviews to gather feedback on research and analysis approaches. This will include revisions, thorough documentation, and presenting work products.

You will help to develop solutions to solve operational and mission-based challenges.

Requirements

Enrolled in a degree granting program. 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 during the summer Able to work onsite to the SEI Pittsburgh office Knowledge, Skills and Abilities: Have excellent written and verbal communication Ability to critically think and problem solve Solid 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) Ability to collaborate internally and externally with professional engineers and researchers Willingness to learn new technologies with cross-functional teams Desired Experience: Experience with programming languages (preferably Python) Experience with training AI/ML models Experience with adversarial machine learning techniques Experience with red-teaming cyber and/or AI systems Basic understanding of cybersecurity concepts Experience with clearly documenting and communicating findings The skills listed above are a nice-to-have bonus, but not strictly necessary for this role.

Job Function Breakdown: AI Security Research and Development: 80% Documentation of Results: 20% TOTAL = 100% This position will be onsite at the Pittsburgh office 5 days a week. 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…

Read the full posting

About Carnegie Mellon University

From its Form 990

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