ML Research Resident (Q1 2025)

Core responsibilities:

• Work for 3 months on developing computational procedures that can reliably improve a knowledge state over thousands of iterations
• Design and test 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 the development of more reliable and interpretable AI systems.

Required skills and qualifications:

• Experience with machine learning research and computational procedures
• Ability to design and test improvement operators for knowledge states
• Experience with AI transparency and scalable reasoning systems
• Ability to work on both simple cases (like scientific paper refactoring) and complex tasks

No compensation, perks, or culture highlights mentioned in the posting.

Elicit is an organization focused on AI research, particularly in the areas of AI transparency, scalable reasoning, and knowledge improvement systems.