generative AI to improve how users discover, synthesize, and interact with scientific knowledge. Our work spans semantic search, retrieval-augmented generation (RAG), ranking systems, LLM evaluation, online experimentation, and scalable evaluation infrastructure. We partner closely with Product, Engineering, UX Research, Knowledge Graph, and Applied AI teams to deliver measurable improvements … search Retrieval-augmented generation (RAG) AI grounding and hallucination mitigation User discovery and engagement outcomes Establish scalable evaluation methodologies for search, retrieval, recommendation, and LLM-powered systems. Guide experimentation and optimization across lexical, semantic, hybrid, and AI-assisted retrieval architectures. Partner with Product and Engineering leadership to align search ...