Staff Machine Learning Engineer
Core
Design, build, and operate exploitability-engine components and agentic subsystems, ensuring AI safety and security governance.
Role type
Staff Machine Learning Engineer (AI Safety & Security)
Builds
Scalable production AI/ML subsystems for exploitability detection and agentic workflows
Domain
Cybersecurity, AI Safety, Distributed Systems
Deliverable
production ML models
Required skills
Probabilistic modeling, Graph analytics, LLMs, RAG, Embeddings, Vector search, Agentic workflows, Model evaluation, AI observability, Python, Java, Go, TypeScript, Cloud-native technologies, Distributed systems, APIs, Databases
Preferred skills
AI-assisted development tools, AI evaluation, AI safety, Governance, Policy guardrails, Security-product experience, Cybersecurity operations
Responsibilities
Own end-to-end lifecycle of exploitability-engine components, Define subsystem architecture and metrics, Drive design and code reviews, Provide technical direction and mentor engineers, Partner with product and security teams to translate problems into designs, Establish AI safety and governance guardrails
Seniority
Staff, hands-on IC with leadership