Mid-Level Computer Vision & 3D Deep Learning Engineer
Tasks
- Design training pipelines and loss functions
- Develop deep learning components for multi view reconstruction
- Evaluate 3D reconstruction quality
- Export and deploy trained models for inference
- Research and prototype deep learning algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | Camera Calibration | Camera Models | Computer Vision | Deep learning | Differentiable Rendering | Distance Functions | Docker | Epipolar geometry | Experiment tracking | GPU Optimization | Implicit Surface Representations | Inference Server | Multi-view Geometry | Nerf | Neural Rendering | Occupancy networks | Open3D | OpenCV | Projective geometry | PyTorch | Python | Pytorch3D | Ray marching | Reprojection Error | Signed Distance Functions | Sphere Tracing | Surface Representations | TensorFlow | TorchScript | Triton Inference | Triton Inference Server | Volume rendering
Education
N/A
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