Research Scientist - End-to-End Generative Search Technology Based on Pre-Trained Foundation Models - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Researching and building next-generation AI search systems using foundation models, LLM agents, and multimodal pre-training to solve challenges in personalized ranking, ultra-large-scale retrieval, and complex multi-turn queries.
Role type
Research Scientist (End-to-End Generative Search)
Builds
Full-stack search engine systems integrating information retrieval with modern machine learning methods
Domain
AI, Machine Learning, Information Retrieval, NLP, Computer Vision
Deliverable
production ML models
Required skills
PhD in AI/CS/Computer Engineering, Machine Learning/Deep Learning/LLM expertise, C/C++ or Python proficiency
Preferred skills
Publications at top AI conferences (AAAI, NeurIPS, ACL), problem definition and analysis ability
Technologies
Foundation models, LLM agents, multimodal pre-training, ranking algorithms
Responsibilities
Explore integration of foundation models with ranking algorithms; develop end-to-end generative search models; research LLM-based agent technology for complex queries
Seniority
PhD level, Research Scientist