Catherine Olsson

Fast paths into high-impact ML engineering roles | Catherine Olsson & Daniel Ziegler

Catherine Olsson, Daniel Ziegler, Rob Wiblin

Former PhD candidates Daniel Ziegler of OpenAI and Catherine Olson of Google Brain detail a strategic pathway for transitioning into AI safety roles through the implementation of deep reinforcement learning papers and building robust software engineering skills. They emphasize that research engineering positions prioritize frustration tolerance and the ability to replicate code over formal theoretical mastery, effectively serving as a viable alternative to completing a traditional doctoral degree. This industry-focused approach enables professionals to contribute to critical alignment work and infrastructure development at leading labs without the requirement of a PhD, often supported by fellowship programs or targeted retraining grants.