Human-Centered AI Research Intern, Causal Reasoning Models

What you'll do

• Conduct research and publish findings in a relevant venue.
• Own the project from ideation through validation of developed methods.
• Collaborate across disciplines on generative AI technology for understanding human behavior.

What they ask for

• Ph.D. student in AI/ML, computer science, data science, statistics, or a related field.
• Publication record or demonstrated research experience in causal inference.
• Hands-on experience with at least one of LLM evaluation and benchmarking, mechanistic interpretability, or methods for improving LLM reasoning.
• Experience with Python and deep learning frameworks such as Pytorch.

Nice to have

• Interest in human-centered research, including behavioral science or computational social science, and qualitative or quantitative methods such as experiments and user studies.
• Excellent communication and teamwork skills.

Pay

$45 and $65/hour (ISO currency code not stated; base pay)

Tools

LLMs, Python, Pytorch

AI focus

Research and develop methods to assess and improve causal reasoning in language-based generative models, with applications to understanding human behavior.