Computer Vision Engineer – Object Detection (m/w/d)
Tasks
- Build object detection neural networks
- Collect and curate real-world datasets
- Deploy models to production in multi sensor systems
- Design and optimize custom loss functions
- Evaluate and debug models using AP precision recall mIoU
- Implement temporal perception algorithms
- Supervise data annotation labeling guidelines
Perks/Benefits
- Agile team
- Career growth
- Collaborative culture
- Continuous development
- International team
- Learning opportunities
- Team events
Skills/Tech-stack
Acoustic | Computer Vision | ConvLSTM | Convolutional LSTM | Data Augmentation | Data labeling | Dataset curation | Deep learning | Docker | Git | Infrared | Intersection Over Union | Knowledge Distillation | Lidar | Mean Intersection Over Union | Model Evaluation | Model Optimization | Multi Sensor | Multi-sensor Fusion | Neural Networks | Object Detection | Precision-recall | Pruning | PyTorch | Python | Quantization | RNN | Radar | Recurrent Neural Networks | Robo perception | Sensor fusion | Time Series | Tracking | Transformer
Education
N/A
Roles
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