Staff Machine Learning Engineer
Core
Building a novel exploitability engine that ranks security work by realistic attacker entry points rather than raw severity.
Role type
Staff Machine Learning Engineer (Security AI)
Builds
Scalable, AI-powered security solutions for ServiceNow and its customers.
Domain
Cybersecurity / Machine Learning
Deliverable
production ML models
Required skills
Predictive Modeling, Graph ML, Security Analytics, Anomaly Detection, Risk Scoring, LLMs/Agentic AI, MLOps
Preferred skills
Attack-path analysis, Vulnerability management, Identity security, Threat intelligence, AI safety/governance, AI evaluation
Technologies
Python, Java, Go, TypeScript, Distributed systems, Cloud-native, Graph systems, Vector search, RAG
Responsibilities
Own a major subsystem end-to-end (design, delivery, quality); Drive design decisions and interface integration; Define and track metrics (accuracy, calibration, precision); Mentor engineers and lead workstreams through influence; Partner with product and SecOps to translate problems into subsystem design; Establish AI safety and guardrails for agentic parts.
Seniority
Staff, hands-on IC with technical leadership
