Posted:3 days ago|
Platform:
Remote
Internship
We're on a mission to revolutionize sports analytics by integrating cutting-edge AI into real-time and post-match video analysis. Our platform delivers powerful insights to enhance athlete performance, optimize coaching strategies, and engage fans like never before. Join us at the intersection of technology and athletic excellence.
✅ Build and optimize computer vision models to detect and track players, ball, referee, and other key entities in sports footage
✅ Develop event recognition models
✅ Implement pose estimation and action recognition algorithms for performance analytics
✅ Work with multi-camera setups to perform 3D player reconstruction and spatial analysis
✅ Deploy models in real-time pipelines and optimize for low-latency inference
✅ Integrate AI pipelines with front-end visualization dashboards
✅ Collaborate with frontend/backend devs, data annotators, and sports analysts
✅ Stay up to date with state-of-the-art research in vision-based sports analytics
⏱️ Real-time inference pipeline design
⚽ Prior work on sports
🖥️ Familiarity with multi-view 3D reconstruction
📍 Pose estimation or skeletal keypoint tracking
🧪 Background in Reinforcement Learning for player movement prediction (optional)
💡 Research publications or GitHub repos in sports AI
📦 Experience with MLOps tools: Weights & Biases, MLflow, DVC
Future Sportler
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