Researcher, Interpretability

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. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven.

You might thrive in this role if you:

• Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter.
• Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI.
• 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.
• Are deeply curious.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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