Machine Learning Engineering Intern - Motion Capture (Fall 2026)

Peripheral is developing spatial intelligence technologies for live sports and entertainment, with a focus on 3D computer vision, robotic perception, and immersive media. The Machine Learning Engineering Intern will help deploy, maintain, and improve motion capture systems, curate training data, evaluate pose estimation models, and support production ML infrastructure.

Responsibilities:

• Help deploy and maintain our pose estimation models in cloud infrastructure, working on containerization, deployment pipelines, and monitoring
• Curate, clean, and analyze training data, working with the team to identify gaps or quality issues in existing datasets
• Support incremental improvements to existing pose estimation models, running experiments and evaluating results against real-world accuracy
• Use evaluation tools to diagnose failure modes in the pose estimation system and help prioritize what to fix
• Work with the motion capture team to understand how camera setup, calibration, and data pipeline choices affect downstream model performance
• Document your work and contribute to the team's data and deployment tooling as you go