Autonomy Engineer - Deep Learning
Tasks
- Apply knowledge distillation
- Deploy optimized models
- Develop evaluation benchmarks and metrics
- Enable label efficient learning
- Generate and use synthetic data
- Implement automated path planning
- Implement computer vision models
- Implement few-shot learning
- Implement image segmentation
- Implement localization and mapping
- Implement multimodal deep learning models
- Implement object detection
- Implement object tracking
- Implement occupancy networks
- Implement optical flow estimation
- Implement stereo depth estimation
- Implement visual place recognition
- Mine and label real world video data
- Optimize models for low latency on embedded hardware
- Train and evaluate models
- Train deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
C plus plus | Computer Vision | Deep learning | Depth Estimation | Embedded Systems | Few-Shot Learning | Few-shot | Image Segmentation | Knowledge Distillation | Localization | Low Latency | Mapping | Object Detection | Object Tracking | Occupancy networks | Optical Flow | Place recognition | PyTorch | Python | Stereo Depth | Stereo depth estimation | Synthetic data | Visual place recognition
Education
Roles
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