OverviewAmazon's EU International Technology (EU INTech) organisation is creating new ways for customers to discover products through innovative customer experiences. Our team leads AI‑native practices to make the path to product effortless, globally — experiment fast, grow our people, and deliver what customers feel.We are a science and engineering team within EU INTech, responsible for designing and developing AI/ML science solutions. We innovate on the frontlines of customer experience worldwide across different categories: Healthcare, Everyday Essentials, Groceries, Amazon Haul. We work across the full customer journey—from search to post‑purchase—and are located in the Madrid Technical Hub.What Makes This Role UniqueEnd‑to‑end ownership – You will analyse business problems, map them to science plans, and design and develop solutions from ideation to production. We are owners of the full science lifecycle.Applied science with a research edge – While our focus is on delivering applied science solutions that drive measurable business impact, our team actively pushes the state of the art in areas such as computer vision and generative AI.Hands‑on execution – We need scientists who thrive in building, experimenting, and shipping.What We're Looking ForA scientist who can independently analyse any business problem and design a rigorous science approach to solve itStrong hands‑on engineering skills — you build and ship, not just theoriseDeep expertise in one or more of: computer vision, generative AI, recommendation systems, ranking, or NLPExperience taking ML models from research to production at scaleComfort with ambiguity and the ability to structure complex, undefined problemsA passion for customer‑centric innovation and measurable impactA strong communicator capable of adapting the message from a science audience to engineering or leadershipKey Job ResponsibilitiesAnalyse complex business problems and translate them into well‑defined science plans with clear milestones and success criteriaDesign, develop,



and deliver ML/AI models end‑to‑end — from research and prototyping through to production systems at Amazon scale, extending solutions beyond the state of the artWork with state‑of‑the‑art models in computer vision, ranking and generative AI to power new customer experiences globallyOwn major science challenges for the team, driving solutions from ideation through experimentation to production deploymentCollaborate with a variety of roles and partner teams around the world to deliver integrated solutionsInfluence scientific direction and best practices across the teamMaintain high quality standards on team deliverablesContribute to expanding the state of the art in computer vision, ranking and Generative AI through publications and internal knowledge sharingBasic QualificationsPh D or equivalent research experienceExperience in building models for business applicationExperience with patents or publications at top‑tier peer‑reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience building machine learning models or developing algorithms for business applicationPreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

📌 Applied Scientist, Eu Intech Consumer Selection Discovery, Euic - Personalization (Madrid)
🏢 Amazon Science
📍 Madrid