Human-Centered AI Research Intern, Causal Reasoning Models

Job description

Job responsibilities

• Perform research and publish in a relevant venue. Publication target venues include NeurIPS, ICML, ICLR, CLeaR, UAI, and COLM, with ACL or EMNLP where the contribution is primarily linguistic, and TMLR as a journal…
• Take ownership of the project from project inception and ideation to validation of the developed methods.
• Collaborate cross-functionally with researchers in multiple fields to research and develop technology that leverages generative AI to understand human behavior.

Job requirements

• Ph.D. student in related fields - AI/ML, computer science, data science, statistics, or related field.
• Publication record or demonstrated research experience in causal inference (structural causal models, identification, counterfactual reasoning).
• Hands-on experience with one or more of: LLM evaluation and benchmarking; mechanistic interpretability; and methods for improving LLM reasoning, including prompting and prompt optimization, post-training (supervised…
• Experience with Python programming and DL frameworks like Pytorch.
• Interest in human-centered research (e.g. behavioral science, computational social science), including qualitative and/or quantitative methods such as experiments and user studies.
• Excellent communication and teamwork skills.