Research Intern

Highlights

• Explore high-risk, high-reward bets pushing boundaries of LLM agents.
• Build research prototypes demonstrating new agentic capabilities.
• Work toward publishing findings in top-tier AI venues and open source.

Ideal candidate

PhD or Master's student passionate about open-ended LLM agent research who thrives in ambiguity and loves pursuing high-risk ideas toward publications.

Requirements

• Currently pursuing or recently completed PhD, Master's, or advanced undergraduate degree in ML, CS, or related field
• Strong foundation in machine learning and NLP with interest in LLMs or agentic AI
• Proficiency in Python and familiarity with PyTorch, JAX, or TensorFlow
• Ability to design, implement, and analyze research experiments independently and collaboratively
• Strong written and verbal communication skills