Senior Applied Computer Vision Engineer
Tasks
- Adapt models to new sports leagues stadiums and video conditions
- Define evaluation metrics testing strategies and quality assurance processes
- Deploy machine learning solutions into production and monitor inference performance
- Design experiments for dataset creation augmentation training and fine-tuning
- Develop production-ready computer vision models for sports video analytics
- Evaluate and improve computer vision pipeline performance
- Implement camera calibration homography and coordinate mapping
- Lead technical initiatives from research prototyping to deployment
- Optimize object detection and tracking pipelines
Perks/Benefits
- Coworking space option
- Flexible working hours
- Fully remote
- Home office equipment allowance
- No business travel
- Paid sick leave
- Paid vacation
- Work-life balance
Skills/Tech-stack
Camera Calibration | Cloud infrastructure | Data Augmentation | Deep learning | Domain Adaptation | Event recognition | Experimentation | Fine Tuning | GPU Computing | Homography Estimation | Identity Association | Inference Optimization | MLOps | Monitoring | Multi-object Tracking | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Test automation | Transfer Learning | Video Analytics
Education
N/A
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