Full-Time

Senior AI Security Researcher

Carnegie Mellon University

Carnegie Mellon University

11-50 employees

Endowment management for university long-term funding

No salary listed

No H1B Sponsorship

Pittsburgh, PA, USA

In Person

Relocation assistance available; occasional travel (~5%) for sponsor sites, conferences, and offsite meetings.

US Top Secret Clearance Required

Category
IT & Security (1)
Required Skills
Python
reverse engineering
Tensorflow
Pytorch
Machine Learning
Vulnerability Analysis
NumPy
C/C++
Requirements
  • BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.
  • A deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
  • Practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
  • Experience with advising on a range of security topics based on research and expert opinion.
  • Familiarity with implementing and applying AI/ML techniques to solving practical problems.
  • Familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
  • Knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro).
  • Experience with Python, C/C++, or low-level programming.
  • Experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
  • Excellent communication skills (oral and written), particularly regarding technical communications with non-experts.
  • You enjoy mentoring and cross-training others and sharing knowledge within the broader community.
  • Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.
  • Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.
Responsibilities
  • Develop state of the art approaches for analyzing robustness of AI systems.
  • Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
  • Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community.
  • Study and influence the AI security and vulnerability disclosure ecosystems.
  • Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
  • Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
  • Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
  • Identify opportunities to apply AI to improve existing cybersecurity research.
Desired Qualifications
  • Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.
Carnegie Mellon University

Carnegie Mellon University

View

CMU Investment Office manages Carnegie Mellon's endowment to provide permanent financial support for research and education, including scholarships and operations. It grows and protects assets through a globally diversified portfolio that includes private equity, venture capital, hedge funds, real estate, natural resources, public equities, and fixed income, using external investment managers. It differs from others by being a university endowment with a dedicated CIO and a global, private-investment–centered approach focused on disciplined long-term growth and risk management. Its goal is to grow and preserve the endowment so CMU can sustain its research, education mission, and operations in perpetuity.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • FY25 return hit 10.9%, with 10-year average at 9.1%.
  • Private book self-funds amid liquidity issues under Miles Dieffenbach.
  • Assets under management reached $7.18 billion recently.

What critics are saying

  • Jeffer Choudhry defected in February 2022 to Pitt, eroding expertise.
  • 9.1% 10-year return trails Yale's 9.5% and Harvard's 9.6%.
  • 85% private equities trap capital in liquidity drought.

What makes Carnegie Mellon University unique

  • CMU targets 85% equities in private investments globally since FY04.
  • Charles A. Kennedy shifted portfolio to private-centered since 2010.
  • Endowment exceeds $4 billion, managed with top external managers.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Professional Development Budget

Wellness Program

Commuter Benefits

Childcare Support