Research Scientist (Control)

Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. THE OPPORTUNITY Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers. We are currently building Watcher, a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023]) and test them on real-world production systems at scale. Research & Development - Systematically collect and catalog coding agent failure modes from real-world instances, our internal deployments, public examples, research literature, and theoretical predictions - Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors - Build and maintain evaluation frameworks to measure progress on monitoring capabilities - Build and maintain high-quality datasets to train and test monitors on - Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency - Stay current with research on AI safety, agent failures, and detection methodologies - Stay current with research into coding security and safety vulnerabilitie