Robot Learning 模型全栈工程师 / 研究员
Tasks
- Align data
- Analyze failure cases
- Build training dataset
- Clean data
- Deploy models for real robot inference
- Ensure reproducibility
- Ensure scalability
- Evaluate models
- Iterate and optimize
- Maintain evaluation infrastructure
- Maintain training infrastructure
- Perform closed loop validation
- Run ablation studies
- Train VLA models
- Train WAM models
- Train imitation learning models
- Tune model hyperparameters
- Visualize data
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Study | Data Visualization | Data cleaning | Distributed Training | Hyperparameter Tuning | Imitation Learning | Machine Learning | Model Evaluation | PyTorch | Python | Real Time | Real-time Inference | Robotics | VLA | WAM
Education
N/A
Regions
Countries
States
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