Senior Applied Computer Vision Engineer
Tasks
- Adapt models to new sports leagues stadiums and video conditions
- Create datasets and run model training fine tuning and evaluation
- Define evaluation metrics and quality assurance processes
- Deploy machine learning solutions and improve inference monitoring
- Design camera calibration and geometric vision solutions
- Develop production computer vision models for sports video analytics
- Improve computer vision pipeline accuracy and robustness
- Lead research prototyping and deployment technical initiatives
Perks/Benefits
- Coworking space option
- Flexible working hours
- Fully remote
- Home office equipment allowance
- No business travel
- Paid sick leave
- Paid vacation
- Technical growth opportunities
Skills/Tech-stack
Camera Calibration | Computer Vision | Data Augmentation | Deep learning | Domain Adaptation | Event recognition | Fine Tuning | GPU | Homography | Identity Association | MLOps | Multi-object Tracking | OCR | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Transfer Learning | Video Analytics
Education
N/A
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