Principal Machine Learning Engineer, Geometric Vision
Tasks
- Apply multi view geometry and neural rendering techniques
- Build scalable data generation and auto labeling pipelines
- Design and train 3D foundation models
- Develop automated evaluation and ground truth systems
- Develop model architectures for 3D perception and world modeling
- Develop multimodal perception models for camera radar and LiDAR
- Develop offline SLAM and 3D reconstruction systems
- Optimize and deploy models for production autonomous driving
- Set technical direction for geometric vision
- Train and evaluate models on distributed compute
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | 3D representations | Auto-labeling | C++ | Calibration | Computer Vision | Deep learning | Distributed Training | Gaussian Splatting | Geometry | Implicit 3D Representations | Lidar | Linear Algebra | Machine Learning | Model Evaluation | Multi-view Geometry | Multimodal Perception | Nerf | Network training | Neural Network | Neural Rendering | Neural network training | Offline SLAM | Optimization | Probability | PyTorch | Python | Radar | Structure from Motion | World modeling
Education
N/A
Regions
Countries
States
Cities
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