Autonomy Engineer Intern - Deep Learning (Computational Photography)
Tasks
- Apply knowledge distillation
- Create datasets for data mining
- Curate label and evaluate training data
- Deploy optimized models
- Design computational photography models
- Develop evaluation benchmarks
- Measure autonomous system performance
- Optimize models for cloud deployment
- Optimize models for embedded low latency
- Perform label efficient learning
- Process video and sensor data
- Train deep learning models
- Use synthetic data for model training
- Work across software components
- Write production-quality code
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Cloud deployment | Computational Photography | Computer Vision | Data Curation | Data labeling | Deep learning | Dynamic Range | Efficient Learning | Embedded Systems | Few-Shot Learning | Few-shot | Geometric understanding | High Dynamic Range | Image Segmentation | Knowledge Distillation | Label Efficient Learning | Latency optimization | Low light imaging | Model Evaluation | Model Training | Multi Frame Denoising | Object Detection | Object Tracking | Optical Flow | PyTorch | Python | Range estimation | Real Time | Real-time Inference | Semantic understanding | Super-resolution | Synthetic data | Visual localization | Visual mapping
Education
Regions
Countries
States
Cities
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