Applied AI Engineer Intern - Remote Basketball Ops Insights

Oklahoma City Thunder; Oklahoma City (OK); Hybrid; USD 28,000 - 41,000; Part time

Benefits offered by this job

Remote internship

Paid internship

Job summary

Oklahoma City Thunder seeks an Applied AI Engineer Intern for Basketball Operations. This remote, paid internship involves building and deploying AI models to support strategic planning, player evaluation, analytics, and performance insights.

You will work with data sources and internal teams to enable real-time decision making. The role requires progress toward an undergraduate, graduate, or doctoral degree in CS or related field with strong Python and ML library skills (PyTorch, TensorFlow, or

Qualifications

• Working toward an undergraduate, graduate or doctoral degree in computer science or related field.
• Proficiency in Python and ML libraries is required.
• Experience with large-scale data and analytics preferred.

Responsibilities

• Develop, deploy, and integrate AI models into real-time decision systems within basketball operations in collaboration with software engineers and data scientists.

Skills

Python

PyTorch

TensorFlow

SQL

RAG pipelines

AWS SageMaker

AWS Bedrock

Education

Undergrad/Graduate/PhD in CS or related field

Tools

AWS Redshift

AWS Athena

Job description

Oklahoma City Thunder seeks an Applied AI Engineer Intern for Basketball Operations. This remote, paid internship involves building and deploying AI models to support strategic planning, player evaluation, analytics, and performance insights.

You will work with data sources and internal teams to enable real-time decision making. The role requires progress toward an undergraduate, graduate, or doctoral degree in CS or related field with strong Python and ML library skills (PyTorch, TensorFlow, or