Summer Intern- Multimodal LLM Algorithm

Overview

You'll work at the frontier of multimodal large language models, applying cutting-edge capabilities to content understanding and generation tasks to continuously raise the bar on model performance.

This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer.

Responsibilities

● Track and explore cutting-edge multimodal LLM research; apply findings to multimodal content understanding tasks

● Contribute to model architecture design, pre-training, fine-tuning, and downstream application development

● Support team capability building through ongoing experimentation and model optimization

Qualifications

● Master's or PhD student in CS, AI, or a related field

● Research or project experience in multimodal learning, RL, NLP, or CV

● Solid math and programming foundations; proficiency in PyTorch

● Strong interest in large models and emerging AI; self-motivated with genuine research potential

● Team player with good communication skills

Bonus Points

● Publications at top NLP, CV, or ML conferences or journals