[I] ML Engineering Intern - Infrastructure (Spring 2027)

Peripheral is developing spatial intelligence technology for live sports, entertainment, advanced sports analytics, and immersive media experiences. The ML Engineering Intern - Infrastructure will support cloud infrastructure powering machine learning systems, contribute to MLOps tooling and workflows, assist with model deployment, and investigate infrastructure reliability, latency, and cost issues.

Responsibilities:

• Support the setup and maintenance of cloud infrastructure for ML model training, including compute provisioning and job orchestration
• Help build and improve MLOps tooling and workflows (e.g., experiment tracking, CI/CD for models, monitoring)
• Assist with deploying and testing models in staging or production environments
• Help investigate infrastructure issues related to reliability, latency, or cost
• Work with engineers across teams to understand their infrastructure needs
• Document your work and contribute to the team's infrastructure tooling as you go