Principal Machine Learning Engineer
Core
Define technical vision and architecture for exploitability-based security solutions, solving hard modeling problems for ServiceNow and its customers.
Role type
Principal Machine Learning Engineer (Strategy & Architecture)
Builds
Scalable, AI-powered security solutions and exposure analysis engines
Domain
Cybersecurity / AI / Machine Learning
Deliverable
production ML models
Required skills
Modern AI/ML (LLMs, foundation models, agentic architectures, RAG), probabilistic modeling, distributed systems, cloud-native platforms, data/graph systems, Python, executive communication, AI-native development tools (coding agents)
Preferred skills
Security domain expertise (threat detection, vulnerability management, identity security), Java/Go, graph analytics
Technologies
LLMs, foundation models, agentic frameworks, RAG, vector technologies, Python, Java, Go, cloud-native platforms, APIs, microservices
Responsibilities
Set technical direction across multiple teams without direct authority, define architectural standards for scalability and reliability, mentor staff and senior engineers, champion AI-native engineering practices, establish AI safety and governance guardrails
Seniority
Principal, hands-on IC with strategic leadership
