Internship - Multimodal Algorithmic Reasoning

MERL is looking for a self-motivated intern to research on problems at the intersection of multimodal large language models and neural algorithmic reasoning. An ideal intern would be a Ph.D. student with a strong background in machine learning and computer vision. The candidate must have prior experience with training multimodal LLMs for solving vision-and-language tasks.

Experience in participating and winning mathematical Olympiads is desired. Publications in theoretical machine learning venues would be a strong plus. The intern is expected to collaborate with researchers in the computer vision team at MERL to develop algorithms and prepare manuscripts for scientific publications.

Required Specific

Experience Experience with training large vision-and-language models

Experience with solving mathematical reasoning problems

Experience with programming in Python using PyTorch Enrolled in a PhD program Strong track record of publications in top-tier computer vision and machine learning ve