ML Researcher (Computer Vision - Sensor Fusion)
Tasks
- Build calibration pipelines and synchronized data capture
- Design and operate part measurement testbeds
- Design multi modal sensor fusion algorithms
- Develop and validate 3D perception algorithms
- Integrate and optimize models for target hardware
- Integrate metrology devices for measurement accuracy
- Perform lab and field verification and validation
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | CI/CD | Camera Calibration | Cloud processing | Computer Vision | Dense Depth Estimation | Depth Estimation | Hardware-in-the-loop | IMU | Image Segmentation | Kalman Filter | Keypoint detection | LiDAR calibration | Multi-view Geometry | Object Detection | OpenCV | PCL | Point Cloud | Point Cloud Processing | PyTorch | Python | ROS | Radar | Sensor fusion | TensorFlow | The Loop | Transformer Models
Education
Roles
Computer Vision Engineer | Engineer | ML Researcher | Researcher | Vision Engineer
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