Autonomy Engineer - Deep Learning
San Mateo, California, United States
USD 170K-277K Mid-level Full Time
Tasks
- Automate path planning
- Build localization and mapping models
- Build object detection models
- Build optical flow models
- Build segmentation models
- Build stereo depth estimation models
- Build tracking models
- Build visual place recognition models
- Deploy deep learning models
- Design computer vision models
- Design multimodal deep learning models
- Develop evaluation benchmarks
- Distill knowledge from foundation models
- Evaluate model performance
- Mine curate label and train data
- Optimize models for low latency
- Support few shot learning
- Support occupancy networks
- Train deep learning models
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Depth Estimation | Efficient Learning | Embedded Systems | Few-Shot Learning | Few-shot | Image Segmentation | Knowledge Distillation | Label Efficient Learning | Localization and 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
Regions
Countries
States
Cities
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