Applied Science Manager - Web Search​/Retrieval​/Ranking, AGI Info - Web Information Systems

Applied Science Manager – Web Search/Retrieval/Ranking, AGI Info - Web Information Systems

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Help shape the future of artificial intelligence by leading breakthrough innovations in web search and Retrieval Augmented Generation at Amazon AGI. You will drive the development of next‑generation search capabilities to improve agentic applications across Amazon, directly influencing how millions of users interact with our platforms through more intelligent and efficient information retrieval systems.

• Lead a team of scientists to improve our web search capabilities and drive key improvements across multiple agentic systems across Amazon.
• Develop novel retrieval and ranking models to improve search, incorporating multiple objectives (e.g., relevance and trustworthiness), and partner closely with engineering to improve model performance.
• Improve content and query understanding models to deliver improved signal to retrieval and ranking models.
• Partner closely with content acquisition and customer teams to ensure dependencies are met and we deliver value to end customers, enhancing information grounding for LLMs.
• Develop a science roadmap, including publication opportunities and how we can accelerate delivery of customer impact.
• Coach and develop the team, hire, and hold the bar on scientific rigor throughout the team.

An ideal candidate will have demonstrated experience in Information Retrieval Systems (learned sparse and dense retrieval, efficient sparse and ANN indexing, learning‑to‑rank models, content understanding/information extraction, etc.) and Large Language Models (Retrieval‑augmented generation (RAG) architectures, post‑training techniques, inference optimization techniques, etc.).

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience hiring and growing top talent

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Experience developing large‑scale search systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.