Description

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 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...