大模型规划算法工程师- 北京
Tasks
- Build agent system architecture
- Conduct model fine tuning and alignment experiments
- Design intent recognition and task decomposition
- Develop LLM planning algorithms
- Develop tool use and execution feedback modules
- Implement path planning and execution decision making
- Improve context management and reasoning planning
- Model multi turn dialogue understanding and planning
- Research and deploy LLM agent planning paradigms
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Agent systems | Context Management | Deep learning | Dialogue Understanding | Direct Preference Optimization | Experimentation | Fine Tuning | Human Feedback | LLM Alignment | Language Model | Language Processing | Large Language Model | Learning from Human Feedback | Machine Learning | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Optimization Process for Preference | Plan-and-Execute | Planning | Preference optimization | Python | React | Reasoning | Reflexion | Reinforcement Learning | Reinforcement Learning from Human Feedback | Supervised Fine Tuning | Task planning | Tool use | Transformer
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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