Future of Life Organizations - Senior Technical Specialist, AI Risk Assessment
Requirements
• 5+ years of experience in AI safety, alignment, and/or governance. We are open to candidates at different levels of seniority who can demonstrate the required depth of expertise. • Strong understanding of multiple risk modeling approaches (causal modeling, Bayesian networks, systems dynamics, etc.) • Experience with systemic and sociotechnical modeling of risk propagation • Excellent analytical thinking with ability to identify subtle flaws in complex arguments • Strong written and verbal communication skills for technical and non-technical audiences • Publication record or equivalent demonstrated expertise in relevant areas • Systems thinking approach with independent intellectual rigor • Track record of constructive collaboration in fast-paced, intellectually demanding environments • Comfort with uncertainty and rapidly evolving knowledge landscapes • Background in complex systems theory, control theory, cybernetics, multi-scale modeling, or dynamical systems • Work history at AI safety research organizations, technical AI labs, policy institutions, or adjacent risk domains • Experience with quality assurance processes for technical research • Ability to model threshold effects, nonlinear dynamics, and emergent properties in sociotechnical systems • Understanding of international dynamics and power differentials in AI development • Ability to balance consideration of both acute and aggregate AI risks • Experience with causal, Bayesian, or semi-quantitative hypergraphs for risk analysis • Demonstrated methodical yet creative approach to framework development
Responsibilities
• Develop techniques for discovering threat models and generating risk pathway analyses that capture societal and sociotechnical dimensions • Model multi-node risk transformation, amplification, and threshold effects propagating through social systems • Contribute to the design of robust technical governance frameworks and assessment methodologies for catastrophic risks, including loss-of-control scenarios • Provide strategic and tactical quality control for the team’s research, ensuring conceptual soundness and technical accuracy • Drive or take ownership of original research projects on comprehensive risk management for advanced AI systems, aligned with the team's objectives • Collaborate across CARMA teams to integrate risk assessment paradigms with other workstreams • Contribute to technical standards and best practices for the evaluation, risk measurement, and risk thresholding of AI systems • Craft persuasive communications for key stakeholders on prospective AI risk management • $140,000 - $220,000 a year
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