Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking)
Tasks
- Balance training datasets
- Build object detection pipeline
- Build segmentation pipeline
- Compress models for edge devices
- Develop dataset to deployment workflow
- Experiment to improve accuracy
- Implement machine learning algorithms
- Improve deep learning models
- Optimize model inference
- Prepare training data
- Prototype model improvements
- Research computer vision papers
Perks/Benefits
- Flexible schedule
- Medical insurance
- Mental health support
- Paid time off
- Professional training support
- Relocation support
- Remote work
Skills/Tech-stack
ARM NEON | Computer Vision | Data Balancing | Deep learning | Fine Tuning | Image Segmentation | Knowledge Distillation | Low Rank Approximation | Machine Learning | Model Compression | NCNN | Object Detection | Object Tracking | OpenCV | OpenVINO | Pruning | PyTorch | Quantization | Tensor decomposition | Transfer Learning | Ultralytics
Education
N/A
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