具身智能算法实习生（Vla预训练方向）
Tasks
- Deploy and test models on robot hardware
- Develop multimodal large models for humanoid robots
- Evaluate model performance on real robots
- Support VLA pretraining generalization research
- Track Embodied AI research and open source
- Train VLA models
- Validate and optimize perception and behavior in complex environments
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Deep learning | LLaVA | Language Models | Large Language Models | Linux | Model Evaluation | Model Training | Multimodal Learning | PyTorch | TensorFlow | Transformer | Vision Language Models | Vision Transformer | Vision-language | Vision-language-action
Education
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