DescriptionAlice.io is seeking a Senior Researcher to drive research execution and technical delivery across frontier AI risks, with a focus on CBRNE and cybersecurity threat vectors.
Reporting directly to a Team Lead, you will serve as the strategic nexus connecting client partners, domain specialists, and our core analysis team. You will lead client-facing engagements, translating intricate multimodal threat landscapes into actionable mitigation frameworks for client engineering and safety leadership.
Key Responsibilities- Lead the execution of red-teaming datasets, evaluation protocols, and technical risk reports; institute QA checkpoints across base-model, guardrail, and agentic workflows across text, vision, and audio modalities.
- Model bandwidth, allocate tasks across subject-matter expert pools (including PhD-level researchers), and maintain delivery velocity under compressed client deadlines.
- Conduct rigorous technical and methodological reviews on all analytic outputs to ensure findings are defensible, reproducible, and aligned with dual-use containment standards.
- Serve as the primary analytical lead in client meetings, presenting threat modeling, residual risk levels, and architecture-level mitigations to external engineering leads.
- Monitor emerging frontier capabilities to refine Alice's internal CBRNE and cyber evaluation frameworks against state-of-the-art dual-use risks.
RequirementsMust Have- 2-4 years of experience spanning AI safety, red-teaming, CBRNE risk, or cyber threat intelligence.
- Proven ability to drive complex technical projects and align specialized experts against demanding deadlines.
- Sound technical judgment when navigating dual-use risks, hazardous materials, and sensitive cyber vulnerabilities.
- Clear, persuasive communication skills, with ease translating high-stakes risk architectures for engineering and executive leadership.
Nice to Have- Advanced degree in chemistry, biology, nuclear science, computer security, or AI.
- Offensive security experience (pen testing, vulnerability research, CTFs).
- In-depth understanding of frontier AI evaluation benchmarks, capability threshold triggers, and lab preparedness frameworks.
