Senior ML Engineer
Core
Building a novel exploitability engine that ranks security work by realistic attacker reachability rather than raw severity.
Role type
Senior IC machine-learning engineer (security risk analysis)
Builds
Production ML components for evidence ingestion, entity resolution, graph construction, and probability scoring.
Domain
Cybersecurity / AI-powered risk prioritization
Deliverable
production ML models
Required skills
software engineering fundamentals, production ML/LLM application development, prototype-to-production lifecycle, distributed systems, cloud-native development, graph systems, Python/Java/Go/TypeScript
Preferred skills
AI safety and guardrail practices, AI evaluation, vulnerability management, identity security, AI-assisted development tools
Technologies
LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, AI observability, graph databases
Responsibilities
Design, build, test, and operate production ML components; ensure correctness and reliability via tests and observability; translate ambiguous requirements into working code; maintain data and model plumbing for graph accuracy; prototype new AI capabilities; partner with product and security teams.
Seniority
Senior, hands-on IC