Research Intern - Foundational Models & Agent
Core
Research Intern contributing to foundational models and agent research alongside doctoral candidates and senior researchers.
Role type
Research Intern (Foundational Models & Agent)
Builds
Research prototypes and findings in LLMs, multimodal models, agents, and reinforcement learning.
Domain
Artificial Intelligence / Machine Learning
Deliverable
research
Required skills
Large Language Models (LLMs), multimodal models, agents, reinforcement learning, Python, deep learning libraries, model training/finetuning, model compression/distillation, dataset curation, data generation via prompting, model alignment, scientific writing
Preferred skills
reinforcement learning libraries, formal methods, verification
Technologies
Python, deep learning libraries, reinforcement learning libraries
Responsibilities
Collaborate with mentors and researchers, present findings, contribute to community, conduct research in LLMs/multimodal/agents/RL, train/finetune models, curate datasets, write scientific papers
Seniority
Intern
