Senior Computer Vision Engineer (Stealth Start-up)
Tasks
- Build real time multi camera fusion models
- Create data flywheel pipelines for continuous training data
- Define and monitor production model quality standards
- Deploy CV models for on premise edge inference
- Design behavioral anomaly detection models
- Develop tag free reidentification for asset tracking
- Diagnose field failures and feed learnings into engineering
- Implement multi view 3D reconstruction and spatial state mapping
- Lead model development standards and CV best practices
- Own ML training pipeline from labeling to model validation
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | AWS | ByteTrack | C++ | Camera Calibration | Cloud platform | Code Reviews | Computer Vision | Data labeling | DeepSORT | Edge inference | Experiment tracking | Geospatial reasoning | Google Cloud | Google Cloud Platform | Machine Learning | Microsoft Azure | Model Validation | Model versioning | Multi Camera | Multi-camera calibration | Object Detection | Object Tracking | OpenCV | PyTorch | Python | Real Time | Real-time Systems | SLAM | Sensor fusion | Software testing | Structure from Motion | TensorFlow | Time Systems | Torchvision | YOLO
Education
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