具身智能数据算法工程师
Tasks
- Align multimodal data for training
- Automate labeling and trajectory filtering
- Build unified data platform
- Create metadata index and visualization playback
- Design multi source data collection pipeline
- Detect and clean anomalous trajectories
- Generate large scale simulation data
- Implement high performance training data loading
- Manage data formats and versioning
- Process and augment multimodal data
- Schedule distributed simulation environments
- Track research trends and translate into engineering solutions
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian Splatting | 3D Vision | Amazon S3 | Anomalous Data Detection | Apache Arrow | Data Versioning | Data cleaning | Data detection | Data loading | Data pipeline | Depth Estimation | Distributed Computing | Docker | Force Torque | Gaussian Splatting | HDF5 | High Performance | High-performance data | High-performance data loading | Inpainting | Joint Angles | Kubernetes | Metadata Management | Multimodal Data | Nerf | Neural Rendering | Object storage | Parquet | PyTorch | Python | RGB | Ray | Simulation | Spark | Touch Data | Visualization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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