Member of Technical Staff - ML Research, Interpretability

What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. - Strong grasp of machine learning fundamentals and the internals of modern neural network architectures - Experience or strong interest in interpretability, representation analysis, or related research - Strong engineering skills for building interpretability tooling and running careful experiments - A rigorous, hypothesis-driven approach to understanding model behavior - A track record of turning open-ended research questions into concrete findings