具身智能算法工程师-模型
Tasks
- Apply vision language action models to dexterous manipulation
- Build dynamic modeling for improved policy generalization
- Deploy trained models to production systems
- Design distributed model training infrastructure
- Develop end to end robot operation models
- Develop reinforcement learning control for dexterous hands
- Implement Sim to Real transfer experiments
- Optimize mixed precision training and inference acceleration
- Reproduce and improve research results for engineering deployment
- Research world model for environment prediction
- Track embodied AI and foundation model research progress
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Deep learning | Distributed Training | GPU Training | Gym | Implicit Q Learning | Inference acceleration | Isaac Lab | Language Models | Mixed Precision | Model Deployment | Mujoco | Multi-GPU | Multi-GPU Training | Multi-node | Multi-node Training | Policy Optimization | Proximal Policy Optimization | PyTorch | Python | Q-learning | Reinforcement Learning | Sim-to-Real | Soft Actor Critic | Vision Language Models | Vision-language | World Models
Education
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