AI Security Researcher

Requirements:
5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry.
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
Preferred qualifications
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g., Product, Engineering, Marketing) to achieve shared goals.