ML Engineering Intern: Real-Time 3D Pose Estimation

Jaide Health; Toronto; On-site; CAD 25,000 - 30,000; Full time

Benefits offered by this job

Flexible PTO

Job summary

Peripheral is seeking an ML Engineering Intern to join our motion capture team, helping deploy, maintain, and improve the markerless pose estimation system in real time from multi-view video.

The 12-month internship starts Fall 2026. You’ll work on deploying models in the cloud, curating training data, and iterating on models with mentorship from engineers and researchers shaping spatial intelligence for live sports and immersive media.

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field.
• Strong foundation in 3D computer vision fundamentals (camera calibration, multi-view geometry, 3D transforms).
• Proficiency in Python and familiarity with a DL framework.
• Attention to data quality and detail.
• Legal right to work in Canada; based in or willing to relocate to Toronto for in-office role.

Responsibilities

• Help deploy and maintain pose estimation models in cloud infrastructure, focusing on containerization, deployment pipelines, and monitoring.
• Curate, clean, and analyze training data to identify gaps or quality issues.
• Support incremental improvements to pose estimation models, running experiments and evaluating results.
• Use evaluation tools to diagnose failure modes and prioritize fixes.
• Collaborate with the motion capture team to understand how camera setup and data pipelines affect model performance.
• Document work and contribute to data and deployment tooling.

Skills

3D computer vision

Python

Deep learning

Data quality

Production ML

Education

Bachelor's or Master's in Computer Science / Electrical Engineering / Robotics

Tools

Docker

Kubernetes

ROS 2

AWS

GCP

Job description

Peripheral is seeking an ML Engineering Intern to join our motion capture team, helping deploy, maintain, and improve the markerless pose estimation system in real time from multi-view video.

The 12-month internship starts Fall 2026. You’ll work on deploying models in the cloud, curating training data, and iterating on models with mentorship from engineers and researchers shaping spatial intelligence for live sports and immersive media.