AI Agent Research Intern

Job Description 

Candidate will work on:  

• Design, prototype, and evaluate AI agents that automate data science tasks (e.g., data wrangling, visualization, modeling). 

• Develop benchmark datasets, tasks, and metrics for evaluating AI agents in realistic data science scenarios. 

• Conduct empirical studies and ablation experiments to validate design choices and performance. 

• Contribute to building reproducible pipelines and documentation for agent evaluation. 

• Publish findings internally or externally (e.g., open-source repositories / benchmarks, academic conferences). 

Qualifications 

• Currently pursuing a PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. 

• Strong research background in one or more of the following: AI agents and autonomous systems, data science automation, benchmarking and evaluation methodology, LLMs.  

• Proficient in Python and familiarity with open-source tools/libraries for data science. 

• Excellent analytical, problem-solving, and communication skills. 

• Publication record in top AI/ML conferences 

• Knowledge of LLM-based agents (e.g., LangChain, AutoGen) is a plus.  

• Experience working with structured datasets and data-centric AI workflows is a plus.