ML Research Resident (Q1 2025)

• Work for 3 months on developing computational procedures that can reliably improve a knowledge state over thousands of iterations.
• Focus on designing and testing improvement operators that maintain stability over 1000 iterations while making genuine progress.
• Start with simple cases like shallow refactoring of scientific papers and demonstrate reliable iteration before scaling up to complex tasks.
• Develop systems that perform legible reasoning over long horizons to address core challenges in AI transparency and scalable reasoning.

This role addresses core challenges in AI transparency and scalable reasoning, contributing to more reliable and interpretable AI systems.

No specific skills, experience, or qualifications mentioned in the provided description.

No compensation, perks, or culture highlights mentioned in the provided description.

No information about the organization's mission and work provided in the description.