具身智能算法工程师-数据
Tasks
- Apply visual foundation models for annotation
- Build active learning annotation workflows
- Build embodied intelligence data platform
- Build multi view reconstruction systems
- Construct benchmark datasets
- Create 3D reconstruction digital assets
- Define data specifications for model training feedback loop
- Design automated data labeling systems
- Develop automated data pipelines
- Develop data cleaning deduplication and balancing tools
- Develop distributed storage database and ETL pipelines
- Develop full body motion capture modeling
- Develop multimodal data acquisition systems
- Estimate hand poses using parameterized models
- Implement NeRF and 3D Gaussian Splatting
- Implement data quality evaluation and governance
- Implement hand object interaction reconstruction
- Integrate cameras depth sensors force tactile sensors mocap
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian Splatting | 3D Reconstruction | Active Learning | C# | C++ | COLMAP | Cloud processing | Data Preprocessing | Database | Distributed Storage | ETL | Gaussian Splatting | Image Segmentation | MANO | MVS | Multimodal Data | Nerf | Object Detection | Open3D | OptiTrack | Point Cloud | Point Cloud Processing | PyTorch | Python | ROS | RealSense | SFM | SMPL | TSDF | Vicon | Zed
Education
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