Detection & Response Engineer

Role overview Develop detection and response systems that identify emerging forms of synthetic media at scale. The role combines security operations, applied machine learning infrastructure, and incident response: you’ll help systems adapt as generation techniques change and keep detection pipelines resilient under real-world conditions.

Responsibilities - Build and maintain real-time pipelines that process large volumes of images. - Create automated response workflows for newly detected synthetic media patterns. - Work with researchers to bring new detection models into operational use. - Test detection systems against adversarial inputs and investigate blind spots. - Develop internal tools for threat intelligence and pattern analysis.

Requirements - At least three years of experience in security engineering, detection engineering, or applied ML infrastructure. - Experience with image-processing pipelines and computer vision fundamentals. - Proficiency in Python and at least one of Rust, Go, or C++. - Familiarity with adversarial machine learning. - Strong analytical skills and comfort working through ambiguity.

Benefits and work setup - Full-time role, remote within the US or based in San Francisco.