Amazon's EU International Technology (EU INTech) organisation is creating new ways for customers to discover products through innovative customer experiences. Our team lead AI-native practices to make the path to product effortless, globally — experiment fast, grow our people, and deliver what customers feel.

¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Descúbralo a continuación.

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 WW across different categories: Healthcare, Everyday Essentials, Groceries, Amazon Haul. We work across the full customer journey from search to post-purchase. We are located in the Madrid Technical Hub.

We are looking for an Applied Scientist who is passionate about solving highly ambiguous and challenging problems at general scale. This is a hands-on,



end-to-end applied science role where you will own the full lifecycle of science solutions — from business problem analysis and science plan design, through development and experimentation, to production deployment. We are looking for AI/ML experts with knowledge on ranking, computer vision, recommendation systems, search, and customer experience design.

What makes this role unique:
• End-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 For
• A scientist who can independently analyse any business problem and design a rigorous science approach

📌 Applied Scientist, EU INTech Consumer Selection Discovery, EUIC (Madrid)
🏢 Amazon
📍 Madrid