具身智能算法实习生 (Manipulation)
Tasks
- Build perception to action closed loop tasks
- Collect data and debug model performance
- Deploy algorithms to simulation environment or real humanoid robots
- Develop multimodal large models for humanoid robots
- Evaluate algorithm effects
- Implement supervised fine tuning and reinforcement learning
- Optimize pretraining data pipelines
- Perform quantization deployment
- Reproduce and improve state of the art embodied AI algorithms
- Track and implement latest embodied AI papers and open source updates
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Computer Vision | Deep learning | Diffusion Models | Fine Tuning | Isaac-Gym | LLaVA | Multimodal Learning | PyTorch | Python | Quantization | ROS | ROS2 | Reinforcement Learning | SAPIEN | Supervised Fine Tuning | Transformer | Vision Transformer
Education
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