Machine Learning Engineer (Semantic Scene Understanding)
Tasks
- Align semantic data across multiple UAVs
- Analyze trafficability from aerial imagery
- Deploy models to tactical C2 platform
- Design machine learning algorithms for semantic segmentation
- Extract high level tactical features
- Fuse multi agent semantic data into common operational picture
- Map dynamic obstacles in real time
- Optimize inference performance using hardware acceleration
- Optimize models for edge deployment
- Quantize and prune models
- Train machine learning models for object detection and classification
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | 3D Geometry | C++ | CUDA | Computer Vision | Image classification | Linear Algebra | Machine Learning | Model Pruning | Model Quantization | ONNX Runtime | Object Detection | PyTorch | Python | Real Time | Real-time Inference | Semantic Segmentation | TensorRT
Education
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