Principal Machine Learning Engineer
Core
Define technical vision and architecture for exploitability-based security AI systems, solving hardest modeling problems for ServiceNow and its customers.
Role type
Principal Machine Learning Engineer (Security & Risk)
Builds
Scalable, AI-powered security solutions and exposure analysis engines
Domain
Cybersecurity / AI / Machine Learning
Deliverable
production ML models
Required skills
Predictive Modeling, Graph ML, Security Analytics, Anomaly Detection, Risk Scoring, LLMs/Agentic AI, MLOps, Distributed Systems, Python, Cloud-native platforms
Preferred skills
Applied depth in security problems (threat detection, vulnerability management), Cybersecurity products familiarity, Probabilistic modeling, Graph analytics
Technologies
LLMs, Foundation models, Agentic architectures, RAG, Vector technologies, Coding agents (Claude Code, Codex, Cursor, Windsurf)
Responsibilities
Set technical direction across multiple teams without direct authority, Mentor staff and senior engineers, Champion AI-native engineering practices, Represent technology to executives and customers, Design systems scaling to enterprise workloads
Seniority
Principal, hands-on IC with strategy & mentorship
