Senior Applied Computer Vision Engineer
Tasks
- Adapt models for new sports leagues stadiums cameras and video quality
- Build geometric computer vision systems for camera calibration homography estimation field registration
- Define evaluation metrics and testing strategies for quality assurance
- Deploy machine learning solutions and improve inference performance monitoring reliability
- Develop production ready computer vision models for sports video
- Evaluate vision pipelines and improve accuracy scalability robustness
- Implement object detection tracking event recognition identity association
- Lead technical initiatives from research prototyping to deployment
- Run experiments for dataset creation augmentation model training fine tuning evaluation
Perks/Benefits
- Coworking space option
- Flexible working hours
- Fully remote
- Home office equipment allowance
- No business travel
- Paid vacation
- Sick leave
Skills/Tech-stack
Camera Calibration | Cloud infrastructure | Data Augmentation | Domain Adaptation | Event recognition | Experimentation | Fine Tuning | GPU Computing | Homography | Identity Association | MLOps | Monitoring | Multi-object Tracking | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Transfer Learning | Video Analytics
Education
N/A
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