…Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product…

…embedding models, vector databases, chunking, hybrid search, re-ranking. - Experience building and operating evaluation frameworks for LLM-based systems; you have a systematic approach…

…We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As…

…ad representation, retrieval, recommendation, ranking, and optimization, with the goal of maximizing value for both users and advertiser Apply and advance technologies in natural…

…Experience with search/ranking, recommender systems, or graph techniques. Background in financial services or regulated industries. Experience with building and deploying ML models on…

…We are seeking a Principal Applied Scientist and Technical Lead to drive the science vision, technical strategy, and execution for relevance, intent understanding, personalization…

…This role touches backend services, front end rendering, CDN behavior, and the data warehouse. - Experience with multi-sided marketplaces, growth or search and ranking…

…ranking, recommendation, search, or personalization systems. Familiarity with embeddings, retrieval-augmented generation (RAG), context management, or memory architecture. Experience partnering with Applied Scientists or…

…You'll work closely with applied scientists, product managers, and partner teams building conversational AI and agentic experiences on top of our search platform…

…As an Applied Scientist, you will lead our efforts in query understanding, semantic matching, and ranking. You will build systems that anticipate search query…

…Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate…

…you! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime…

…In this role, you will partner closely with applied scientists, product teams, and platform engineers to define and deliver highly extensible systems that fuel…

…This role owns a product roadmap for one of our search algorithm areas — ranking, retrieval, or query understanding — the largest discovery surface by order…

…You will lead a world-class organization of machine learning engineers, software engineers, and applied scientists developing agentic AI frameworks, reasoning systems, planning engines…

…We work across Stores and Advertising, partnering with personalization, ranking, and search teams to turn measurement into changes customers can feel. You bring a…

…operating within governance and change management expectations Experience with specialized domains such as search and ranking, recommender systems, graph machine learning, or knowledge graphs

…apply data minimization and privacy-preserving techniques to any user behavioral signal used in ranking or retrieval Own safety and trust for generative search…

…Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and…

…About the role As a Senior Applied AI/ML Scientist on the Search team, you will help shape the technical vision, machine-learning algorithm…

…to make the leap from "searching for products" to "being understood as a person." As a Principal Applied Scientist, you will be the intellectual…

…We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production…

…You will work closely with engineers, peer product managers, applied scientists, TPMs, managers, and senior leadership team to understand and drive business impact. Successful…

…Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience…

…Ranking - owns the prediction of how relevant a title is to a given member in a given context, and how that ranking is applied…