具身智能算法工程师-模型
Tasks
- Build world model for environment prediction and dynamics modeling
- Conduct sim to real transfer research
- Deploy models to production systems
- Develop end to end robot operation models
- Implement reinforcement learning control for dexterous hands
- Perform distributed training mixed precision and inference acceleration
- Research Vision Language Action models for manipulation
- Set up and optimize large scale model training infrastructure
- Track leading research and improve engineering implementation
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Deep learning | Distributed Training | Implicit Q Learning | Inference acceleration | Isaac-Gym | Language Models | Learning algorithms | Mixed Precision | Model Training | Model training optimization | Mujoco | Multi-GPU | Multi-node | OpenAI Gym | Policy Optimization | Proximal Policy Optimization | PyTorch | Python | Q-learning | Reinforcement Learning | Reinforcement learning algorithms | Sim-to-Real | Soft Actor Critic | Training Optimization | Vision Language Models | Vision-language | World Model
Education
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