Ph.D. Research Large Language Models Intern

NVIDIA is seeking a strategic, ambitious, and collaborative individual to join their industry-leading LLM team as a Ph.D. research intern.

The intern will research and develop novel methods for advancing large language and multimodal models, collaborate with team members and external researchers, and transfer research to product groups to enable new products.

Responsibilities:

• Research and develop novel methods for advancing large language and multimodal models.
• Collaborate with other team members, teams, and/or external researchers.
• Transfer research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

Requirements:

• Actively enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field.
• Anticipated graduation date must be clearly indicated on a resume or CV.
• Prior experience or knowledge in programming skills and technologies such as Python, C++, CUDA, Deep Learning Frameworks (PyTorch, Tensorflow, JAX, etc.).
• Strong background in research with publications at top conferences.
• Excellent communication and collaboration skills.
• Experience with large-scale model training is a plus.

Preferred Qualifications:

• Research experience in areas such as Large Language Models, Transformer architectures, Knowledge distillation and data synthesis, Long-context methods, Model Efficiency and Optimization, Training and Alignment, Synthetic data generation, Multimodal and Vision Language Models, Retrieval-Augmented Generation (RAG).

Benefits:

• Hourly rate: $38 - $94 per hour.
• Eligibility for Intern benefits.