Internship: Multimodal LLM & Neural Reasoning

merl; Cambridge (MA); On-site; USD 45,000 - 65,000; Part time

Job summary

MERL is seeking a self-motivated intern to explore problems at the intersection of multimodal large language models and neural algorithmic reasoning. The ideal candidate is a PhD student with a strong ML and CV background, experienced in training multimodal LLMs for vision-and-language tasks.

The role involves collaborating with MERL's computer vision team to develop algorithms and prepare manuscripts for publications, with emphasis on high-quality research outputs and conference-grade results.

Qualifications

• Experience with training large vision-and-language models.
• Experience with solving mathematical reasoning problems.
• Enrolled in a PhD program.
• Strong track record of publications in top-tier CV/ML venues.

Responsibilities

• Collaborate with researchers in the computer vision team to develop algorithms.
• Prepare manuscripts for scientific publications.

Skills

Vision-language models

Multimodal ML

PyTorch

Publications

Education

PhD candidate

Tools

Python

PyTorch

Job description

MERL is seeking a self-motivated intern to explore problems at the intersection of multimodal large language models and neural algorithmic reasoning. The ideal candidate is a PhD student with a strong ML and CV background, experienced in training multimodal LLMs for vision-and-language tasks.

The role involves collaborating with MERL's computer vision team to develop algorithms and prepare manuscripts for publications, with emphasis on high-quality research outputs and conference-grade results.