具身智能算法工程师
Tasks
- Build world models for environment prediction
- Deploy model training and inference pipelines
- Develop end to end robot operation models
- Implement sim-to-real transfer
- Improve and reproduce research in production
- Optimize mixed precision and inference acceleration
- Research Vision Language Action models for manipulation
- Set up distributed model training infrastructure
- Track breakthroughs in embodied intelligence and robotics
- Train reinforcement learning policies for dexterous hands
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | GPU Training | IQL | Inference Optimization | Isaac-Gym | Language Models | Machine Learning | Mixed Precision | Model Deployment | Mujoco | Multi-GPU | Multi-GPU Training | PPO | PyTorch | Python | Reinforcement Learning | SAC | Sim-to-Real | Vision Language Models | Vision-language | World Models
Education
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