具身智能算法实习生(Vla预训练方向)
Tasks
- Deploy models on robot hardware
- Develop multi modal vision language action models
- Evaluate VLA model performance on real robots
- Support VLA pretraining generalization research
- Test and optimize models in complex environments
- Track Embodied AI research papers and open source
- Train VLA models
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Deep learning | LLaVA | Language Models | Large Language Models | Linux | Multimodal Learning | PyTorch | TensorFlow | Transformer | Vision Language Models | Vision Transformer | Vision-language | Vision-language-action
Education
Roles
Engineer | Intern | Learning Engineer | Machine Learning Engineer | Research Intern
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