Applied Science Manager , Rufus - Conversational Shopping

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Amazon

full-time

Posted: October 15, 2025

Number of Vacancies: 1

Job Description

Join the pioneering team behind Amazon's Generative AI shopping initiatives, Rufus - Amazon's flagship Shopping AI assistant. We're revolutionizing how millions of customers discover products through AI-powered conversational commerce. Our mission is to transform the traditional e-commerce experience into an intuitive, personalized journey powered by state of the art large language models (LLMs).Key Responsibilities:- Lead and mentor a team of elite applied scientists developing next-generation AI shopping experiences - Drive architectural decisions and technology strategy for large-scale LLM deployments - Spearhead the development of novel conversational AI features that help customers navigate Amazon's vast product catalog - Partner with product teams to translate business requirements into technical solutions while maintaining high scientific standards- Build and scale production-grade GenAI systems that can handle Amazon's massive customer base - Identify opportunities for innovation and efficiency improvements through emerging AI technologies - Drive cross-functional collaboration with engineering, product, and business teamsImpact & Scope: - Direct influence on shopping experiences used by millions of customers globally - Shape the strategic direction of Amazon's conversational commerce initiatives - Lead breakthrough innovations in the application of GenAI to e-commerce - Regular engagement with senior leadership on strategic initiatives and resultsRequired Qualifications:- PhD or Masters in Computer Science, Machine Learning, or related field, or equivalent practical experience- 7+ years of experience in machine learning, with significant focus on NLP/LLMs- Proven track record of launching successful customer-facing AI products at scale- Strong technical leadership experience managing and mentoring applied science teams- Excellence in scientific research methodology and experimental design- Deep expertise in modern deep learning frameworks and ML infrastructure- Outstanding communication skills with ability to translate complex technical concepts for various audiencesPreferred Qualifications:- Experience with large-scale distributed systems and cloud computing- Publication record in top-tier ML conferences (NeurIPS, ICML, ACL, etc.)- Previous experience with e-commerce or recommendation systems- Track record of successful collaboration with product management teams- Experience with ML deployment and monitoring in production environmentsAbout the Team:You'll join a diverse, passionate team of scientists and engineers working at the intersection of e-commerce and cutting-edge AI. We offer an environment that encourages innovation, supports professional growth, and provides opportunities to shape the future of online shopping.This role offers a unique opportunity to lead groundbreaking work in applied AI while directly impacting the shopping experience of millions of Amazon customers worldwide.

Locations

  • United Kingdom, London, London, England, United Kingdom

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - Knowledge of ML, NLP, Information Retrieval and Analyticsintermediate
  • - Experience directly managing scientists or machine learning engineersintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Experience in building machine learning models for business applicationintermediate
  • - Experience in applied researchintermediate

Required Qualifications

  • - Master's degree (degree)
  • - Knowledge of ML, NLP, Information Retrieval and Analytics (experience)
  • - Experience directly managing scientists or machine learning engineers (experience)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Experience in building machine learning models for business application (experience)
  • - Experience in applied research (experience)

Preferred Qualifications

  • - Experience building machine learning models or developing algorithms for business application (experience)
  • - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers (experience)

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Application Instructions

https://www.amazon.jobs/en/jobs/3110634

Tags & Categories

amazon.artificial-intelligenceinternational-stores.stores-tech-emeaMachine Learning Science