The opportunity
About the Team 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.
What they're looking for
- Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines.
- Hold a Ph.D. or have research experience in computer science, machine learning, or a related field.
- Thrive in environments involving large-scale AI systems, and are excited to: make use of OpenAI’s unique resources in this area.
- Possess 2+ years of research engineering experience and proficiency in Python or similar languages.
