具身智能算法实习生 (Manipulation)
Tasks
- Collect data and debug algorithm performance
- Conduct multimodal model research and development
- Deploy models to simulation or humanoid robot platforms
- Evaluate algorithm effectiveness
- Optimize model for quantized deployment
- Perform reinforcement learning and DPO
- Perform supervised fine-tuning
- Process pretraining data for large models
- Reproduce and improve SOTA algorithms
- Support closed loop tasks from perception to action
- Track Embodied AI research and open source
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Computer Vision | DPO | Data collection | Deep learning | Diffusion Models | Embodied AI | Fine Tuning | LLaVA | Model Quantization | Multimodal Learning | Performance Evaluation | PyTorch | Python | ROS | ROS2 | Reinforcement Learning | Simulation | Supervised Fine Tuning | Transformer | Vision Transformer
Education
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