具身智能算法实习生(Vla预训练方向)
Tasks
- Conduct multimodal model optimization for complex environments
- Deploy and test models on real robot hardware
- Develop VLM VLA algorithms for humanoid robots
- Support VLA pretraining generalization research
- Track Embodied AI research papers and open source
- Train VLA models and evaluate real robot performance
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Deep learning | LLaVA | Language Model | Large Language Model | Linux | Model Training | Multimodal Learning | PyTorch | Real Time | Real-time evaluation | TensorFlow | Time Evaluation | Transformer | Vision Language Model | Vision Transformer | Vision-language | Vision-language-action
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Research Intern | Engineer | Intern | Learning Engineer | Machine Learning Engineer | Research Intern
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