具身智能算法工程师-模型
Tasks
- Accelerate inference and deploy models
- Apply vision language action models to dexterous manipulation
- Build and optimize large model training infrastructure
- Build dynamic modeling for robot control
- Develop end to end models for robot manipulation
- Implement distributed training
- Implement sim-to-real transfer
- Perform sim to real experiments
- Research world models for environment prediction
- Train reinforcement learning control for high degree dexterous hands
- Use mixed precision training
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Computer Vision | Deep learning | Distributed Training | Implicit Q Learning | Inference Optimization | Isaac-Gym | Language Models | Mixed Precision | Model Deployment | Mujoco | 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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