Machine Learning Intern - Multimodal Models Generative AI

We're seeking a Machine Learning Intern to support research and development of large language models and multimodal models. You will work on model fine-tuning, parameter-efficient training, and architecture exploration. Assist with experiments, benchmarking, evaluation, and data analysis. Develop prototypes using NVIDIA AI platforms and GPU-accelerated tools. Collaborate with researchers and engineers on cutting-edge AI innovation projects. Explore opportunities for technical publications and research outputs.

Requirements:

• Pursuing BS, MS, or PhD in Computer Science, AI, Data Science, Engineering, Mathematics, or related fields.
• Experience with machine learning / deep learning.
• Strong Python programming skills.
• Familiarity with PyTorch or TensorFlow.
• Good analytical and problem-solving skills.
• Good verbal and written communication skills in English.

Preferred qualifications:

• Experience with LLMs, VLMs, multimodal AI, NLP, or generative AI.
• Experience with distributed training or GPU computing.
• Interest in applied research and publications.