Researcher, Mechanistic Interpretability & Safe AI

Society for AI Security; United States; On-site; USD 160,000 - 230,000; Full time

Job summary

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.

This role will play a critical part in helping OpenAI ensure future models remain safe as they grow in capability.

Qualifications

• Hold a Ph.D. or have research experience in computer science, machine learning, or a related field.
• 2+ years of research engineering experience and proficiency in Python or similar languages.
• Experience in the field of AI safety & alignment, mechanistic interpretability, or spiritually related disciplines.

Responsibilities

• Develop and publish research on techniques for understanding representations of deep networks.
• Engineer infrastructure for studying model internals at scale.
• Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue.
• Guide research directions toward demonstrable usefulness and/or long-term scalability.

Skills

Python

Research engineering

Mechanistic interpretability

Quantitative reasoning

AI safety & alignment

Education

Ph.D. in CS/ML or related field

Job description

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.

This role will play a critical part in helping OpenAI ensure future models remain safe as they grow in capability.