Job Title

Department OverviewThe University of Virginia's Research Computing (RC) team, part of UVA Information Technology Services (ITS), supports cutting-edge research across the institution by providing advanced computational resources and expertise. Within RC, the Data Analytics Center (DAC) enables interdisciplinary collaboration by helping researchers apply modern data science and AI techniques to complex problems.UVA ITS does more than support the UVA community - we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.Position SummaryThe University of Virginia is seeking a Research Scientist with expertise in Large Language Models (LLMs) to join the Data Analytics Center (DAC) within Research Computing. This role will partner directly with researchers across disciplines to apply LLMs and AI techniques to diverse datasets, enabling innovative research outcomes.As a key member of the Research Computing team, you will contribute technical expertise in deep learning and LLMs, support high-impact research initiatives, and help advance UVA's leadership in data-driven discovery.ResponsibilitiesCollaborate with researchers to understand datasets and analytical requirementsPerform data preprocessing and analysis to identify appropriate deep learning and LLM approachesSelect, fine-tune, and apply LLMs and AI models to complex research problemsOptimize LLM performance on HPC systems, including parallel implementationsManage AI-based research projects to ensure timely delivery and scientific rigorPrepare technical reports, presentations, and research outputsDevelop and deliver training sessions and workshops on LLMs for the UVA communityPartner with the DAC team to share programming techniques and best practicesMinimum QualificationsEducation:Advanced degree (Master's or higher)Experience:At least 2 years of relevant work experienceSkills:Proficiency in Python programmingDemonstrated expertise in AI systems and machine learning algorithmsStrong analytical and problem-solving abilitiesExcellent written and verbal communication skillsAbility to collaborate with researchers across diverse disciplinesStrong relationship-building skills with technical and non-technical stakeholdersAdditional Requirement:U.S. citizenship or permanent residency required due to access to high-security data environmentsPreferred QualificationsEducation:PhD in Computer Science, Electrical Engineering, Data Science, or related fieldExperience:3+ years of academic or applied research experienceTechnical Skills:Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging FaceExperience with LLM evaluation and benchmarking methodologiesFamiliarity with generative or probabilistic modelingAdditional Knowledge:Understanding of LLM risks such as hallucinations and bias, and responsible AI practicesPhysical DemandsThis is primarily a sedentary role. The position may require the ability to sit for extended periods and use a computer for prolonged durations.Position Type & Work LocationFull-timeLocated in Charlottesville, VAFlexible work arrangements may be availableThis position has committed funding through June 2028; continuation is dependent on the availability of funding.About UVA and the CommunityThe University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community with a high quality of life, combining rich history with a dynamic and forward-looking environment.UVA fosters a collaborative culture that values diversity, equity, and inclusion, and is dedicated to supporting employees' professional growth and work-life balance.Application TimelineReview of applications will begin after the position has been posted for a minimum of five days.Additional RequirementsBackground check requiredThis position will not sponsor applicants requiring a visaHow to Apply Please apply online through Online and search for R0081788 . Complete the application and upload the following required materials: Internal applicants may search and apply for jobs on the UVA Internal Careers website . Cover letterResumeReference Check ProcessReference checks will be conducted via UVA's standard SkillSurvey process, requiring a minimum of three completed references.ContactFor questions about this position, please contact:Bill CraneSenior Talent Acquisition RecruiterUniversity of REQUIREMENTS:Education: Bachelor's Degree required.Experience: 3+ years relevant experience required.Licensure: None.PHYSICAL DEMANDS:This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer