具身智能算法实习生 (Manipulation)
Tasks
- Apply reinforcement learning
- Build perception to action closed loop
- Collect data and debug results
- Deploy models in simulation or on robot
- Develop multimodal large model algorithms
- Evaluate algorithm performance
- Perform supervised fine-tuning
- Process pretraining data
- Reproduce and improve state of the art algorithms
- Run model quantization deployment
- Track embodied AI papers and open source
Perks/Benefits
- N/A
Skills/Tech-stack
CLIP | Computer Vision | Deep learning | Diffusion Model | Fine Tuning | Isaac-Gym | LLaVA | Language Model | Large Language Model | Multimodal Learning | PyTorch | Python | Quantization | ROS | ROS2 | Reinforcement Learning | SAPIEN | Supervised Fine Tuning | Transformer | Vision Transformer
Education
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