Sports Computer Vision Engineer

WIN Reality, Inc.; Los Angeles (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

WIN’s computer vision team builds production models that convert game footage into actionable metrics. As a Computer Vision Engineer, you’ll design, train, and ship detection, tracking, and 3D understanding pipelines used by real customers in baseball and softball.

This role demands strong fundamentals in deep learning, multi-view geometry, and practical production deployment. You’ll collaborate across product, backend, and hardware teams, and you may relocate to Austin or Los Angeles to join a

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
• 4+ years of industry experience in computer vision, including shipping models in commercial products.
• Strong Python and C++; deep experience with PyTorch (or similar) and OpenCV.
• Hands‑on experience with object detection, multi‑object tracking, camera calibration, and multi‑view geometry or 3D reconstruction.
• Experience deploying and optimizing models in production (for example, ONNX, TensorRT, GPU optimization).
• Based in, or willing to relocate to, Austin or Los Angeles.

Responsibilities

• Design, train, and deploy models for object detection, multi-object tracking, pose estimation, and event recognition from sports video.
• Build end-to-end pipelines that turn raw video into structured, reliable sports data — ball flight, player movement, and swing and pitch mechanics.
• Optimize models for production: accuracy, latency, cost, and edge vs. cloud inference.
• Monitor model performance in the field across thousands of cameras, varied lighting, field conditions, and camera placements.
• Find failure modes fast and close them with better data, better models, or better calibration.
• Work with product, backend, and mobile engineers to turn model outputs into features customers use every day.
• Partner with hardware on camera selection, placement, calibration, and synchronization.
• Stay current on research and bring the right advances into production.

Skills

Deep learning

Tracking

Multi-view geometry

Object detection

Multi-object tracking

3D reconstruction

Python

C++

PyTorch

OpenCV

Camera calibration

GPU optimization

ONNX / TensorRT

Education

MS or PhD in Computer Science or Electrical Engineering

Job description

WIN’s computer vision team builds production models that convert game footage into actionable metrics. As a Computer Vision Engineer, you’ll design, train, and ship detection, tracking, and 3D understanding pipelines used by real customers in baseball and softball.

This role demands strong fundamentals in deep learning, multi-view geometry, and practical production deployment. You’ll collaborate across product, backend, and hardware teams, and you may relocate to Austin or Los Angeles to join a