具身算法工程师
Tasks
- Build data collection and annotation platform
- Build embodied intelligence development pipeline
- Build model deployment and inference platform
- Build model training and fine tuning platform
- Collaborate with robotics software teams for model deployment and debugging
- Collect teleoperation data
- Deploy models and run inference
- Evaluate models
- Manage data and labeling
- Perform sim to real training and deployment
- Process ego first person multimodal data
- Process motion capture data
- Reproduce adapt and optimize diffusion policy models
- Train and deploy reinforcement learning models
- Train and fine-tune models
- Train and optimize imitation learning models
- Validate models on real robots
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Dagger | Data labeling | Deep learning | Diffusion Policy | Ego Perception | Fine Tuning | Imitation Learning | Linux | Model Deployment | Model Evaluation | Model Fine-tuning | Model Inference | Model Optimization | Model Training | Motion capture | Multimodal Learning | PyTorch | Python | ROS | ROS2 | Reinforcement Learning | Reproducible Research | Robotics | Sim-to-Real | Teleoperation | VLA
Education
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