具身智能算法实习生（Vla预训练方向）
Tasks
- Apply deep learning models to perception and action in complex environments
- Deploy and test models on real robot hardware
- Research and develop multi modal VLM VLA for humanoid robots
- Support VLA pre training generalization research
- Track embodied AI papers and open source projects
- Train VLA models and evaluate real robot performance
Perks/Benefits
Skills/Tech-stack
Action models | CLIP | Deep learning | LLaVA | Language Models | Large Language Models | Linux | Multimodal Learning | PyTorch | TensorFlow | Transformer | Vision Language Models | Vision Transformer | Vision-Language-Action Models | Vision-language | Vision-language-action
Education
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