Llm算法实习生（具身大脑方向）
Tasks
- Analyze LLM Agent and embodied AI research
- Build simulation tasks for long term real time interaction
- Construct interaction trajectory datasets for SFT and RL
- Design multi step interactive scenarios with time constraints
- Implement reward signals and task validation mechanisms
- Participate in technical discussions
- Train agentic reinforcement learning with environment feedback
- Write technical reports and research summaries
Perks/Benefits
Skills/Tech-stack
Agentic RL | Data Modeling | LLM Agent | Language Models | Large Language Models | Machine Learning | PyTorch | RLHF | Reinforcement Learning | SFT | Tool-Calling
Education
N/A
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