Job Title

We build AI-native products that operate at scale. We are now entering a critical phase—moving beyond baseline functionality to delivering high-quality, intuitive, and delightful user experiences across search, conversational AI, and multimodal systems.This role sits at the intersection of LLMs, search, personalization, and video intelligence, with a direct impact on products used by hundreds of millions of users globally.What You’ll Work OnEnhance conversational search quality—making responses contextual, intuitive, and user-centricContribute to unified search systems combining traditional and conversational approaches (routing, ranking, cost optimization)Build and integrate ranking and personalization systems based on user context and query intentDevelop video intelligence capabilities, including scene understanding and embedding-based retrieval (e.g., CLIP)Work on reasoning over unstructured data using RAG and multi-hop reasoning frameworksDesign and improve evaluation frameworks to continuously enhance model quality and performanceCollaborate closely with product and engineering teams in fast-paced iteration cyclesKey Problem AreasElevating search experience from functional to highly engaging and “magical”Designing unified search architectures across multiple modalitiesBalancing quality, latency, and cost in production systemsScaling systems while maintaining high-quality benchmarksRequired Qualifications4.5–10 years of experience in Applied Data Science / Machine Learning, with strong exposure to Generative AIHands-on experience building and deploying LLM/GenAI-powered products (beyond standalone models)Strong foundation in search, NLP, or information retrieval (ranking systems, query understanding, retrieval pipelines)Experience designing evaluation pipelines for generative AI (quality tracking, regression detection, metrics-driven improvements)Ability to work in fast-paced, evolving environments with strong ownershipPreferred QualificationsExperience with multimodal systems (image/video embeddings, multimodal retrieval)Background in personalization or recommendation systems within search ecosystemsExperience in optimizing quality at scale in production environmentsStrong understanding of cost-efficient system design (latency optimization, inference cost, routing strategies)What We OfferBest-in-class compensationOpportunity to work on cutting-edge AI products at global scaleHigh-impact role with direct influence on product experienceContinuous learning with a world-class team of engineers and AI experts