Join a global community of researchers and innovators where you''ll explore your passions and contribute to the next generation of AI-driven productivity solutions. You''ll be part of a world-class team developing cutting-edge natural language understanding, intelligent search, and recommendation technologies that shape how millions of people access and interact with information.As an Applied Science PhD Intern, you will work on cutting-edge challenges in large language models (LLMs), graph-based retrieval, personalization, and scalable machine learning systems. You''ll collaborate closely with experienced scientists and engineers to bring innovative research ideas to life through real-world prototypes and high-impact AI technologies.This is an exceptional opportunity to grow, explore your research interests, and contribute to meaningful, production-focused AI innovation.What you''ll work onDevelop or apply advanced techniques across:Graph-based information retrievalContextualization and personalization modelsLLM prompt engineering and post-trainingSynthetic data generationEvaluation methods for LLM-based systemsDesign and build scalable end-to-end prototypes that can be deployed in real product environments.Conduct deep analysis of your research area, staying informed about trends and sharing insights across the team.Document and validate methodologies with potential for publication in leading AI research venues.Support the creation and optimization of datasets for machine ..... full job details .....