Researcher, Interpretability
OpenAI is looking for a Researcher, Interpretability to study and understand internal representations of deep learning models. This role involves developing and publishing research, engineering infrastructure for model internals at scale, and collaborating across teams to ensure the safety of powerful AI systems.
The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven.
OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.
Posted May 31, 2026