Sports AI Research Engineer: Real-Time Video & Analytics

YinzCam; Pittsburgh (Allegheny County); On-site; USD 150,000 - 210,000; Full time

Job summary

YinzCam seeks exceptional Research Engineers to lead AI-driven video analysis and game analytics for professional sports. This onsite role in Pittsburgh blends publishable research with production-ready systems that reach millions of fans in real time.

You will collaborate with CMU researchers to translate academic innovations into applied sports AI, publishing in top venues while building scalable platforms and tools for fan experiences.

Qualifications

• PhD in Computer Vision, ML, CS or related field.
• Strong publication record in top-tier CV/ML venues.
• Deep expertise in modern CV: detection, segmentation, action recognition.
• Proficiency in PyTorch/TensorFlow and Python.

Responsibilities

• Design and develop AI systems for real-time video understanding of live sporting events (player detection, action recognition, spatial analysis).
• Build CV pipelines handling challenging footage (lighting, occlusion, multiple cameras).
• Develop analytics to surface actionable insights across games and seasons.

Education

PhD in Computer Vision, ML, CS

Tools

PyTorch

TensorFlow

Python

AWS

SQL

Redshift

Job description

YinzCam seeks exceptional Research Engineers to lead AI-driven video analysis and game analytics for professional sports. This onsite role in Pittsburgh blends publishable research with production-ready systems that reach millions of fans in real time.

You will collaborate with CMU researchers to translate academic innovations into applied sports AI, publishing in top venues while building scalable platforms and tools for fan experiences.