AI Player Biometric Performance Tracker

Xolvex Studio

Remote · $130k – $160k / year · Full-time · Posted 4 months ago

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About the role

Sports performance broadcasting is moving from descriptive to analytical: viewers want to know not just what happened but what it means in performance terms. Athlete biometric tracking — heart rate, acceleration, deceleration, distance, sprinting speed — extracted from broadcast camera feeds and wearable sensor streams, combined with contextual game state analysis, lets broadcasters tell the performance story of the match: who's fatiguing, who's operating at their performance ceiling, and which moments of peak physical output changed the game. We serve 8 sports broadcasting organizations and 12 sports league analytics teams. Biometric performance tracking from broadcast feeds is a new capability we're building to complement our existing video analytics. The challenge is multi-modal: biometric data from wearables, pose estimation from video, tracking data from optical player tracking, and game event context all need to be fused into a coherent performance narrative. You'll lead the biometric tracking fusion system: designing the multi-source data integration architecture, building the performance state models that interpret biometric signals in game context, and creating the performance insight generation that turns sensor data into broadcast-ready narrative elements.

Fully remote.

Responsibilities

Design multi-source biometric fusion architecture integrating wearable sensors, pose estimation, and optical tracking
Build performance state models interpreting biometric signals in game context: fatigue onset, peak output windows
Implement player comparison analytics benchmarking in-game biometric performance against individual baselines
Develop broadcast annotation generation producing performance insight overlays and narrative elements
Create injury risk flagging identifying biometric patterns correlating with elevated injury probability
Build real-time performance dashboard for coaching staff use during match intervals

Requirements

6+ years in sports analytics, biomedical data science, or computer vision with athlete performance modeling
Deep understanding of sports biomechanics, athletic performance metrics, and physiological fatigue indicators
Strong Python and computer vision skills with multi-modal sensor fusion experience
Experience working with wearable sensor data, optical tracking systems, and broadcast video pipelines
Track record building analytics systems adopted by professional sports teams or broadcasters