Carnegie Mellon University

Senior AI Security Researcher

Carnegie Mellon University$120K — $150K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in machine learning, cybersecurity, statistics, or related field with 5-10 years of experience.
  • Deep interest in AI/ML and cybersecurity with intellectual curiosity.
  • Practical experience in cybersecurity related to vulnerability research and analysis.
  • Experience advising on security topics based on expert research.
  • Familiar with common AI/ML tools like Numpy and TensorFlow.
  • Knowledge of reverse engineering tools such as NSA Ghidra or IDA Pro.
  • Experience in Python, C/C++, or low-level programming.

Responsibilities

  • Develop approaches for analyzing AI system robustness.
  • Apply methods to understand vulnerabilities and attacker tactics in AI systems.
  • Reverse engineer malicious code for high-impact clients.
  • Influence the AI security and vulnerability disclosure ecosystem.
  • Evaluate industry-developed tools and techniques for effectiveness.
  • Challenge and uncover assumptions of current AI security best practices.
  • Create models and datasets to characterize AI threats and publish results.

Benefits

  • Work alongside elite AI and cybersecurity professionals.
  • Engagement in influential methodologies impacting national AI security strategy.
  • Opportunity to mentor and share knowledge within the community.
Full Job Description

As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale.  Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come. 

You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University.

What you’ll do: 

  • Developstate of the artapproaches 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 toidentifyand address emerging and complex threats to AI systemsandeffectively participatein 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.  

  • Developthoughtmodels, 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.  

  • Identifyopportunities to apply AI to improve existing cybersecurity research. 

Who you are:  

  • You have 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. 

  • You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization. 

  • You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation. 

  • You have experience with advising on a range of security topics based on research and expert opinion. 

  • You have familiarity with implementing and applying AI/ML techniques to solving practical problems. 

  • You have familiarity with common AI/ML software packages and tools (e.g.,Numpy,Pytorch,Tensorflow, ART). 

  • You have knowledge or familiarity with reverse engineering tools (e.g.NSA Ghidra, IDA Pro) 

  • You have experience with Python, C/C++, or low-level programming. 

  • You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies. 

  • You haveexcellentcommunication skills (oral and written), particularlyregardingtechnical communications with non-experts. 

  • You enjoy mentoring and cross-training others and sharing knowledgewithin the broader community.  

  • Candidates withstrong technical proficiencyin either AI/ML or cybersecurity are welcome to apply, provided a demonstratedintellectual agility and commitment requiredfor accelerated learning within the role.

You are able to: 

  • 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 andmaintaina Department of War (DoW) security clearance. 

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information: 

  • Please visit “” to learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click to view a listing of employee benefits

About Carnegie Mellon University

Carnegie Mellon University is a private research university that was founded in 1900. The university is located in Pittsburgh, Pennsylvania and is known for its programs in computer science, engineering, and the arts. Carnegie Mellon has a diverse student body and offers undergraduate and graduate programs in a variety of fields. The university has a strong focus on research and has partnerships with a number of companies and organizations. Carnegie Mellon is consistently ranked among the top universities in the United States.
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