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
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.
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 have 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.
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 and maintain a Department of War (DoW) security clearance.
Why work here?
Join a world-class organization that continues to have a significant impact on software.
Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation.
Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation.
Get 8% monthly contribution for your retirement, without having to contribute yourself.
Get tuition benefits to CMU and other institutions for you and your dependent children.
Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave.
Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
Qualify for relocation assistance and so much more.
Location
- Pittsburgh, PA
- Job Function
- Software/Applications Development/Engineering
- Position Type
- Staff – Regular
- Full time/Part time
- Full time
- Pay Basis
- Salary
- More Information:
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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