Senior Staff Machine Learning Engineer
Core
Architecting a zero-to-one exploitability engine that ranks security work by realistic attacker entry points rather than raw severity, using probabilistic modeling and graph analytics.
Role type
Senior Staff Machine Learning Engineer (Security & Risk)
Builds
Scalable AI-powered security solutions and a novel exposure analysis system for ServiceNow and its customers.
Domain
Cybersecurity, Risk Engineering, AI/ML, Graph Analytics
Deliverable
production ML models
Required skills
Probabilistic modeling, Graph analytics, LLM systems, Distributed systems, Cloud-native development, Python, Java, Go, TypeScript, Technical leadership, System architecture
Preferred skills
Attack-path analysis, Vulnerability management, Identity security, AI safety, AI evaluation, AI governance, AI-assisted development tools
Technologies
Python, Java, Go, TypeScript, LLMs, RAG, Vector search, Graph systems, Cloud platforms
Responsibilities
Define end-to-end architecture for the exploitability engine, make consequential model-shaping decisions, lead zero-to-one production work, mentor senior engineers, partner with product and security teams, establish AI safety guardrails
Seniority
Senior Staff, hands-on IC with strategic influence
