AI/ML Vulnerability Analysis Intern at Carnegie… · Pittsburgh

Summary: Carnegie Mellon University is a leading institution in software engineering and computer security. The AI/ML Vulnerability Analysis Intern will contribute to the Vulnerability Analysis Team's mission of reducing societal harm from vulnerable information systems by conducting vulnerability analysis of AI/ML software systems and providing recommendations. Responsibilities: - Enable vulnerability analysis of AI/ML software systems including mitigation recommendations - Enable trend analysis of emerging AI/ML software system vulnerabilities and recommendations - Enable analysis of threat actor intent, capability, and opportunities to exploit legitimate AI/ML systems Required Qualifications: - Enrolled in a degree granting program - Able to work an internship during the summer - Able to work onsite to the SEI Pittsburgh office - You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship - Willingness to explore various locations to support the SEI's overall mission, specifically within the SEI and CMU community - Ability to critically think and problem solve - Basic understanding of cybersecurity and software development concepts - Solid understanding of AI/ML - 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 with professional engineers and researchers - Willingness to learn new technologies with cross-functional teams - Potential to analyze code and system architectures to identify vulnerabilities - Skills in communicating technical matters clearly and effectively to non-technical stakeholders - Ability to communicate externally with government, academia, and/or industry stakeholders Preferred Qualifications: - 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 Required Skills: AI/ML, Cybersecurity, Software development, Python, PyTorch, TensorFlow, Adversarial machine learning, Red-teaming, Vulnerability analysis Benefits: Comprehensive medical, prescription, dental, and vision insurance, Generous retirement savings program with employer contributions, Tuition benefits, Ample paid time off, Observed holidays, Life and accidental death and disability insurance, Free Pittsburgh Regional Transit bus pass, Access to our Family Concierge Team to help navigate childcare needs, Fitness center access