LLM & AI Research Scientist

Commonwealth of VA Careers; Charlottesville (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

The University of Virginia is seeking a Research Scientist in the Data Analytics Center (DAC) of Research Computing to advance LLM and AI applications across disciplines. You will partner with researchers to apply transformer-based methods to diverse datasets and scientific problems.

Responsibilities include selecting and fine-tuning models, optimizing performance on HPC systems, and contributing to training, reports, and community workshops.

Qualifications

• Advanced degree (Master’s or higher) required.
• 3+ years of relevant research experience preferred.
• Experience with LLMs, transformers, and deep learning methodologies.

Responsibilities

• Collaborate with researchers to understand datasets and analytical requirements.
• Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches.
• Select, fine-tune, and apply LLMs and AI models to complex research problems.
• Optimize LLM performance on HPC systems, including parallel implementations.
• Manage AI-based research projects to ensure timely delivery and scientific rigor.
• Prepare technical reports, presentations, and research outputs.
• Develop and deliver training sessions and workshops on LLMs for the UVA community.
• Partner with the DAC team to share programming techniques and best practices.

Skills

Python

AI systems

Analytical skills

Communication

Collaboration

Stakeholders

Education

Master’s degree or higher

PhD

Tools

PyTorch

TensorFlow

Hugging Face

Job description

The University of Virginia is seeking a Research Scientist in the Data Analytics Center (DAC) of Research Computing to advance LLM and AI applications across disciplines. You will partner with researchers to apply transformer-based methods to diverse datasets and scientific problems.

Responsibilities include selecting and fine-tuning models, optimizing performance on HPC systems, and contributing to training, reports, and community workshops.