Senior Staff Machine Learning Engineer
Core
Designing and building a novel exploitability engine for security risk analysis that ranks security work by realistic attacker entry points rather than raw severity.
Role type
Senior Staff Machine Learning Engineer (Security AI)
Builds
End-to-end architecture of a probabilistic ranking core, evidence ingestion, entity resolution, and validation loops for security harness.
Domain
Cybersecurity / AI / Probabilistic Modeling
Deliverable
production ML models
Required skills
Architecture design, probabilistic modeling, graph analytics, LLM systems, agentic workflows, distributed systems, Python/Java/Go/TypeScript
Preferred skills
Attack-path analysis, vulnerability management, AI safety/governance, AI evaluation, AI-assisted development tools
Technologies
Python, Java, Go, TypeScript, LLMs, RAG, vector search, graph systems, cloud-native technologies
Responsibilities
Own end-to-end architecture of the exploitability engine, drive technical direction for zero-to-one production systems, mentor senior engineers, partner with product and security teams, establish AI safety guardrails.
Seniority
Senior Staff, hands-on IC with strategic influence
