Research Scientist Intern - End-to-End Generative Search Technology Based on Pre-Trained Foundation Models - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Researching next-generation AI search systems by integrating 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
PhD Research Scientist (Generative Search & Foundation Models)
Builds
End-to-end generative search models and AI-powered search architecture
Domain
AI/ML, Information Retrieval, Large Language Models, Multimodal Learning
Deliverable
research
Required skills
Deep Learning, NLP, Computer Vision, Reinforcement Learning, Generative Models, Multimodal Learning, Data Structures, Algorithms, Mathematical Modeling
Preferred skills
Publications in top AI/CS conferences (NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW), Algorithmic competition rankings, Experience with Search/Recommendation systems, LLM development
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 based on multimodal pre-training; Research LLM-based agent technology for complex ambiguous queries
Seniority
PhD Candidate (Research Intern)