Research Intern, Agentic Data Memory

What you'll do

• Execute well-defined research projects in areas like NLP, machine learning, or AI systems.
• Collaborate with mentors and researchers to advance research and development strides.
• Present research findings to the research community.
• Build or evaluate LLM-based agents, retrieval-augmented generation, or knowledge graphs.
• Design benchmarks, evaluation protocols, and controlled experiments.
• Perform statistical analysis of research results.
• Develop and run experiments using Python and PyTorch on GPU clusters or cloud infrastructure.

What we're looking for

• Currently enrolled in a Doctorate Degree program in Computer Science or a related STEM field.
• 1+ year(s) of research experience in natural language processing, information retrieval, machine learning, graph machine learning, or systems for AI.
• Research experience must be demonstrated through publications or preprints.
• Experience building or evaluating LLM-based agents, retrieval-augmented generation (RAG), knowledge graphs, or memory systems for agents (preferred).
• Experience designing benchmarks, evaluation protocols, or controlled experiments, including statistical analysis of results (preferred).
• 1+ year(s) experience in Python and domain-relevant libraries and frameworks like PyTorch.
• Familiarity with running experiments on GPU clusters or cloud infrastructure (preferred).
• 1+ year(s) experience in Calculus, Probability and Statistics and/or Machine Learning.