Senior Staff Machine Learning Engineer
Core
Design and build the exploitability engine for security operations, handling evidence ingestion, entity resolution, probabilistic attack-path analysis, and validation for agentic systems.
Role type
Senior Staff Machine Learning Engineer (Security Architecture)
Builds
Production-scale exploitability engine and AI safety guardrails for agentic systems
Domain
Cybersecurity / AI/ML
Deliverable
production ML models
Required skills
Probabilistic modeling, graph analytics, LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, AI observability, distributed systems, cloud-native technologies, Python, Java, Go
Preferred skills
Attack-path analysis, vulnerability management, identity security, threat intelligence, detection and response, AI-assisted development tools, AI safety governance
Technologies
Python, Java, Go, LLMs, RAG, embeddings, vector search
Responsibilities
Own end-to-end architecture of the exploitability engine; Develop probabilistic ranking and guided path search; Lead zero-to-one production-scale engineering; Define core metrics for entity resolution and calibration; Mentor senior engineers; Partner with product and security teams to translate problems into architecture; Establish AI safety and governance guardrails
Seniority
Senior Staff, hands-on IC with technical leadership