Jay Bailey

Brisbane, Australia

Bio

Updated 03/22/26

Jay Bailey is a former software engineer from Brisbane, Australia who transitioned into AI safety research after several years working in software. He participated in the SERI MATS Summer 2022 cohort, studying mechanistic interpretability under Neel Nanda, and subsequently received grants to upskill in ML for AI safety and to collaborate with Joseph Bloom on the Decision Transformer Interpretability project, co-authoring work on feature representations in memory-augmented gridworld agents. After struggling with direct research contributions, he leveraged his engineering background to accelerate his collaborator's research. Recognizing a stronger theory of change in evaluations as governments and labs committed to AI red-teaming, he joined the UK AI Safety Institute (AISI) as a Research Engineer, spending approximately 18 months doing frontier LLM evaluation. He currently works at Arcadia Impact as Head of Technology and Standards, where he contributes to technical AI safety efforts and supports researchers transitioning into the field.