Real-Time Sports AI Research Engineer

YinzCam, Inc.; Pittsburgh (Allegheny County); On-site; USD 120,000 - 160,000; Full time

Job summary

YinzCam, Inc. seeks Research Engineers to lead AI-driven video analysis and game analytics for premier sports experiences. You will work with CMU researchers to move innovations from prototype to production, publishing in top CV/ML venues and shaping fan experiences at scale.

Role combines rigorous research with product sensibility, requiring publication quality and strong engineering execution. Onsite in Pittsburgh, collaborating with CMU and sports teams.

Qualifications

• PhD in Computer Vision, ML, CS or closely related field.
• Strong publication record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).
• Deep expertise in modern CV techniques: neural networks, object detection, segmentation, action recognition, optical flow, pose estimation.
• Proficiency in ML frameworks (PyTorch, TensorFlow) and modern deep learning practices.
• Strong software engineering fundamentals: Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD.
• Demonstrated ability to implement complex systems end-to-end.
• Background in sports analytics, sports tech, or applied computer vision.
• Genuine enthusiasm for sports and AI.

Responsibilities

• Design and develop AI systems for real-time video understanding of live sporting events.
• Build robust computer vision pipelines handling real-world footage.
• Explore novel architectures in modern CV for sports problems.
• Develop AI systems to extract, aggregate, and interpret game data at scale.
• Create spatial and temporal analytics frameworks for insights from video and sensor data.
• Build analytics platforms scalable from single games to league-wide deployments.
• Translate video understanding into engaging fan experiences and real-time highlights.
• Ensure research outputs move through the full product development lifecycle.

Skills

Computer Vision

Machine Learning

Python

Java

AWS

SQL

CI/CD

PyTorch

TensorFlow

End-to-end deployment

Sports analytics

Education

PhD in Computer Vision / ML / CS

Tools

PyTorch

TensorFlow

AWS

SQL

Redshift

Job description

YinzCam, Inc. seeks Research Engineers to lead AI-driven video analysis and game analytics for premier sports experiences. You will work with CMU researchers to move innovations from prototype to production, publishing in top CV/ML venues and shaping fan experiences at scale.

Role combines rigorous research with product sensibility, requiring publication quality and strong engineering execution. Onsite in Pittsburgh, collaborating with CMU and sports teams.