Nvidia PhD Research Intern Large Language Models - 

United States, Texas 

990429881

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

be doing:

• Investigatenovel approachesto infuse theory-of-mind reasoning into the post- or pre-training phases of large language models

• Collaborate with other team members, teams, and/or external researchers.

• Transfer your research to product groups to enable new products or types of products.

• Opportunity to publish original research.

What we need to see:

• Currently pursuing a PhD Degree in Computer Science/Engineering, Electrical Engineering.

• Research experience in at least one of the following areas:

• Large Language Models – training, alignment, and evaluation

• Foundation Models

• Multimodal Models/Agents

• Vision-Language Models

• Deep Learning, Model Compression, and Acceleration Techniques

• Pruning

• Quantization

• NAS

• Efficient Backbone Architecture

• Distillation

• Neural Architecture Search

• Strong research track record and publication record at top-tier conferences.

• Excellent communication skills.

• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus

• Hands-on experience with large-scale model training is a plus.

• Knowledge of common machine learning frameworks, such as PyTorch