Applied AI Engineer Intern / Basketball Operations
About The Position
The Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we’re driven to shape the future of our industry, our community, and our own legacy in sports. We’re looking for people who want to make an impact–individuals with the courage and ambition to think and work differently and an endless desire to initiate progress. At the Thunder, you’re joining a culture that performs at the highest level and empowers you to realize your greatest potential. As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering valuable insights that help shape the organization’s future — influencing strategy, decision-making, and performance to build the optimal conditions for talent to thrive. You will work with colleagues, internal infrastructure, and internal and external data sources to develop and deploy integrated artificial intelligence applications that support decision making within strategic planning, player evaluation, basketball analytics, and player performance.
Requirements
- Working toward an undergraduate, graduate or doctoral degree in computer science or related field
- Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
- Advanced SQL skills and experience querying large analytical warehouses (e.g., AWS Redshift, AWS Athena)
- Experience building RAG pipelines and fine-tuning foundation models for specific business tasks
- Experience working with and protecting confidential information
- Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners
Nice To Haves
- Experience working with large, spatiotemporal datasets in an AI / ML context a plus
- Experience with cloud-ML tooling such as AWS SageMaker and Bedrock a plus
Responsibilities
- Develop, deploy, and integrate artificial intelligence models into the systems that drive real-time decisions within basketball operations in collaboration with a team of software engineers and data scientists
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed
