Application Modeling Software Intern

The National Renewable Energy Laboratory (NREL) is hiring a graduate research intern for Application Modeling Software to enhance natural language processing and large language models. Responsibilities include collaborating on research, designing experiments, and communicating findings. Candidates must be enrolled in or recently graduated from a master's program with expertise in NLP and machine learning. The position is remote-friendly and offers access to high-performance computing resources.
Accelerate Energy Innovation with Natural Language Processing and Large Language Models at NREL
About the Role

The National Renewable Energy Laboratory (NREL) is seeking a graduate research intern to contribute to the development of natural language processing and large language models. This project involves evaluating and improving the ability of LMs to answer probabilistic questions about hypothetical situations posed by scientists.
Key Responsibilities
• Collaborate with your research mentor and other project members to define a scope with the goal of submitting a manuscript at project's end
• Design, implement, and run experiments using high-performance computing resources
• Communicate research progress verbally and in writing through regular project updates and in the form of a publication
Requirements

To be eligible for this internship, you must be enrolled as a full-time student in a master's degree program from an accredited institution or have earned a master's degree within the past 12 months. You should have a strong background in natural language processing, machine learning, and software engineering, as well as experience with distributed training frameworks and managing software dependencies in high-performance computing environments.
What We Offer

NREL provides a dynamic and supportive environment for interns to grow and develop their skills. As an intern, you will have access to cutting-edge facilities, multidisciplinary research teams, and opportunities to collaborate with industry leaders and experts in the field. Our remote-friendly position includes access to high-performance computing systems equipped with the latest hardware accelerators for distributed computing.