Senior GenAI Safety Researcher – Frontier Risk

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the implementation of red-teaming datasets, evaluation protocols, and technical risk assessments.

• Establish quality assurance checkpoints across base-model, guardrail, and agentic workflows that encompass text, vision, and audio modalities.

• Model bandwidth and distribute tasks among pools of subject-matter experts, including those with PhD qualifications.

• Maintain delivery speed while meeting tight client deadlines.

• Perform thorough technical and methodological reviews of analytical outputs.

• Ensure that findings are defensible, reproducible, and comply with dual-use containment standards.

• Act as the primary analytical lead during client meetings.

• Present threat modeling, residual risk assessments, and architecture-level mitigations to external engineering teams.

• Keep track of emerging frontier capabilities.

• Enhance internal CBRNE and cyber evaluation frameworks in relation to cutting-edge dual-use risks.

⛳️ Requirements

• 2–4 years of experience in AI safety, red-teaming, CBRNE risk, or cyber threat intelligence.

• Demonstrated ability to manage complex technical projects and coordinate specialized experts under strict deadlines.

• Strong technical judgment in addressing dual-use risks, hazardous materials, and sensitive cyber vulnerabilities.

• Excellent communication skills, with the ability to convey high-stakes risk architectures to engineering and executive leadership effectively.

• Advanced degree in chemistry, biology, nuclear science, computer security, or AI (preferred).

• Experience in offensive security, including penetration testing, vulnerability research, or capture the flags (preferred).

• Comprehensive understanding of frontier AI evaluation benchmarks, capability threshold triggers, and lab preparedness frameworks (preferred).

🏝️ Benefits

• Comprehensive health benefits package.

• Opportunities for professional development and continuous learning.

• Flexible working hours and the option for remote work.

• Collaborative and innovative work environment.