Senior Applied Computer Vision Engineer
Tasks
- Adapt models to new sports leagues stadiums and video quality
- Define evaluation metrics testing and quality assurance
- Deploy machine learning solutions into production environments
- Design and improve camera calibration and homography solutions
- Develop computer vision models for sports video analytics
- Evaluate and optimize computer vision pipelines
- Execute dataset creation augmentation and model training
- Improve inference performance monitoring and operational reliability
- Lead technical initiatives from prototyping to deployment
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 | Camera systems | Cloud infrastructure | Computer Vision | Data Augmentation | Deep learning | Domain Adaptation | Event recognition | GPU | Homography Estimation | Identity Association | MLOps | Model Evaluation | Monitoring | Multi Camera | Multi-camera systems | Multi-object Tracking | OCR | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Testing | Transfer Learning | Video Analytics
Education
N/A
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