Bachelor's degree or equivalent practical experience.
2 years of experience with security assessments or security design reviews or threat modeling and common attack vectors, and mitigation principles.
2 years of experience with security engineering, computer and network security and security protocols.
2 years of coding experience in one or more general purpose languages.
2 years of experience in security research, vulnerability analysis, pen testing, or a similar role, including analyzing systems, identifying security weaknesses, and thinking like an attacker.
Preferred qualifications:
Master's or PhD degree in Computer Science or a related technical field with a specialization in Security, AI/ML, or a related area.
Experience in security research contributions (e.g., publications in relevant security/machine learning venues, common vulnerabilities and exposures conference talks, open-source tools).
Experience in AI/ML security research, including areas like adversarial ML, prompt injection, model extraction, or privacy-preserving machine learning.
Experience developing or evaluating security controls for large-scale systems.
Experience in secure coding practices, vulnerability analysis, security architecture, and web security.
Familiarity with the architecture and potential failure modes of LLMs and AI agent systems.