Research Scientist - End-to-End Generative Search Technology Based on Pre-Trained Foundation Models - Global Tech Research Program - 2027 Start (PhD)
Tasks
- Apply LLM based agent technology
- Build search engine system
- Develop end to end generative search models
- Enhance search user experience
- Implement multimodal pre training
- Improve personalized ranking accuracy
- Integrate foundation models with ranking algorithms
- Optimize retrieval and ranking efficiency
- Understand and fulfill multi turn ambiguous queries
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Retrieval | Foundation Models | Generative AI | Information Retrieval | LLM Agents | Language Models | Language Processing | Large Language Models | Machine Learning | Model Training | Multi-turn dialogue | Multimodal Learning | Natural Language | Natural Language Processing | Personalization | Ranking algorithms | Recommender Systems
Education
Roles
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