Senior Staff Machine Learning Engineer
Core
Designing and building a zero-to-one AI-powered security harness with a novel exploitability engine to rank security work by realistic attacker entry points rather than raw severity.
Role type
Senior Staff Machine Learning Engineer (Security & Risk)
Builds
Scalable, production-quality security solutions for ServiceNow and its customers
Domain
Cybersecurity, Risk Engineering, AI/ML
Deliverable
production ML models
Required skills
Predictive Modeling, Graph ML, Security Analytics, Anomaly Detection, Risk Scoring, LLMs/Agentic AI, MLOps, Probabilistic Modeling, Graph Analytics, Calibration and Evaluation
Preferred skills
Attack-path analysis, Vulnerability management, Identity security, Threat intelligence, AI safety, AI governance, AI evaluation
Technologies
Python, Java, Go, TypeScript, Cloud-native technologies, Distributed systems, APIs, Databases, Vector search, RAG, Embeddings
Responsibilities
Own end-to-end architecture of the exploitability engine from ingestion to validation; Drive technical direction for probabilistic ranking cores and calibration loops; Mentor senior engineers and lead by influence; Partner with product and SecOps to translate customer problems into architecture; Establish AI safety and governance guardrails for agentic systems
Seniority
Senior Staff, hands-on IC with strategic leadership
