ML Researcher (Computer Vision - Sensor Fusion)
Tasks
- Design and operate part measurement testbeds and metrology setups
- Design multi modal sensor fusion algorithms
- Develop 3D perception models for reconstruction detection segmentation and depth estimation
- Implement camera LiDAR calibration pipelines
- Optimize and integrate models for target hardware
- Perform lab and field verification with manufacturing teams
- Synchronize multi sensor data capture and annotation
- Use metrology devices to validate measurement accuracy
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 | Lidar | Machine Learning | Multi-view Geometry | Object Detection | OpenCV | PCL | Point Cloud | Point Cloud Processing | PyTorch | Python | ROS | Radar | Sensor fusion | TensorFlow | The Loop
Education
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