大模型规划算法工程师- 北京
Tasks
- Build agent system architecture
- Collaborate with product, engineering, and research teams
- Design reasoning and planning modules
- Develop LLM agent planning paradigms
- Develop LLM planning algorithms
- Enable tool use and execution feedback
- Implement context management
- Improve multi turn dialogue understanding
- Model dialogue planning
- Optimize agent performance through experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent planning | Context modeling | Deep learning | Dialogue Understanding | Direct Preference Optimization | Fine Tuning | Human Feedback | LLM Agent | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | Preference optimization | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Supervised Fine Tuning | Task planning | Tool use | Transformer
Education
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