Deep Learning Engineer – AI Safety (f/m/div.)
Tasks
- Collaborate with teams on architectural solutions
- Create deep learning architectures
- Deploy deep learning models
- Develop AI safety methods
- Implement anomaly detection
- Implement model calibration
- Implement open set recognition
- Implement open-set object detection
- Implement uncertainty quantification
- Improve perception solutions
- Optimize deep learning architectures
- Train and evaluate AI methods
Perks/Benefits
- Canteen
- Career progression
- Continuous professional development
- Flexible benefits
- Free parking lot
- Health insurance
- Hybrid work system
- Public transport access
- Sports and health activities
- Training opportunities
Skills/Tech-stack
3D Object Detection | AI Model Deployment | AI model | Anomaly Detection | Computer Vision | Deep learning | Digital Signal | Digital Signal Processing | Ensemble learning | Foundation Models | Freespace Detection | ISO 26262 | ISO 8800 | Knowledge Distillation | Model Deployment | Model calibration | Novelty Detection | Object Detection | Open Set Object Detection | Open Set Recognition | OpenMMLab | PyTorch | Python | SOTIF | Semantic Segmentation | Sensor fusion | Signal Processing | TensorFlow | Tracking algorithms | Transformer | Uncertainty Quantification
Education
Roles
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