Description
The role is to architect and build the foundational AI infrastructure for a distributed network of security agents that detect and stop adversarial AI threats. Responsibilities include ingesting rich data streams, scanning the internet for new threats, monitoring billions of customer events, extracting behavioral patterns, building pipelines, fine-tuning models with fresh threat data, orchestrating GPU workloads across dynamic clusters, and implementing real-time feedback loops. The position requires 2–10 years of experience, experience scaling AI infrastructure or MLOps, and experience working in fast-paced environments; security or adversarial-environment experience is a bonus.
