Description
RunSybil is hiring engineers to help build Sybil, an AI-driven pentesting product that automates hacker intuition and finds vulnerabilities before they are exploited. The role focuses on proposing and implementing technical initiatives, leading technical design discussions, translating ambiguous security and data problems into actionable plans, and upholding high code quality. Candidates should have experience with security data problems, experiment design, data infrastructure, modern and classic machine learning techniques, and both Jupyter notebooks and data pipelines. The position is hybrid based in New York City and may require travel.
