Artificial Intelligence Research Scientist

ARTIFICIAL INTELLIGENCE RESEARCH SCIENTIST

DESCRIPTION

The AI Group at the Joe Gibbs Human Performance Institute (JGHPI) is offering a full-time position dedicated to tackling projects for both JGHPI and our race team. JGHPI leverages deep learning to analyze biomechanical datasets that are unique in both multi-modality and scale. Joe Gibbs Racing (JGR) oversees a wide range of processes across multiple disciplines, all of which converge on race day performance. Many of these processes require, or can be enhanced by, the application of AI-driven modeling techniques. We are seeking a candidate with a strong background in deep learning and hands-on experience with modern neural network architectures, including graph neural networks and transformers.

Supervisor:

Dr. Eddie Mitchell, VP of Artificial Intelligence

ABOUT US

JGHPI is at the forefront of biomechanical engineering research, striving to unravel the complexities of human movement. Our multidisciplinary team is dedicated to pioneering advanced data acquisition systems and leveraging machine learning, with a heavy focus on deep learning specifically, and other innovative technologies to enhance our understanding of human performance.

LOCATION AND DATES

Joe Gibbs Racing, 13415 Reese Blvd W, Huntersville, NC 28078

• Hybrid (within Charlotte/Huntersville area)
• 40 hours per week

RESPONSIBILITIES

• Conduct research with an interdisciplinary team of scientists.
• Collaborate with different JGR departments on interdisciplinary projects.
• Work directly with the JGR analytics group for data pipelining and engineering.
• Apply data analytics to interpret complex datasets and derive actionable insights.
• Participate in the entire research cycle from problem formulation to experimental design and analysis.

PREFERRED REQUIREMENTS AND QUALIFICATIONS

• MSc or PhD (at least expected by May 2026) in mathematics or computer science or a related field
• Eligible to work in the United States
• Familiarity with various neural network architectures (LSTM, CNN, GNN, transformers, etc.)
• Coding experience with PyTorch and/or PyTorch Geometric

PREFERRED SKILLS AND EXPERIENCE

• Practical experience with a containerization platform (e.g. Docker)
• Experience with AWS Sagemaker for data processing and model training
• Familiarity with Git best practices
• Proactive and independent work ethic within a professional environment
• Ability to collaborate effectively in a multidisciplinary team setting

DIVERSITY STATEMENT

At the Joe Gibbs Human Performance Institute, we are committed to fostering a diverse and inclusive environment. We believe that many perspectives enrich our research and reflect the varied tapestry of human movement we study. We provide equal opportunities for all students, recognizing that innovation thrives on the unique contributions of individuals from all backgrounds.

We encourage applications from people of all races, genders, ethnicities, abilities, ages, religions, sexual orientations, and veteran statuses. Our institute is a place where your identity and contributions are valued, and where everyone can feel empowered to bring their authentic selves to our team. By embracing diversity, we aim to create a working experience that is as multifaceted and dynamic as the human performance we seek to optimize.

Applications are due by May 14, 2026.