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Applied Scientist, EU InTech Consumer Selection Discovery
Applied Scientist, EU InTech Consumer Selection Discovery-March 2024
Madrid
Mar 28, 2026
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About Applied Scientist, EU InTech Consumer Selection Discovery

  Description

  Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site.

  The team, mainly located in Madrid Technical Hub, London and Luxembourg, comprises Software Developer and ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommendations systems, Search as well as CX. Are you interested on how the experiences that fuel Catalog and Search are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content?

  Key job responsibilities

  We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including working with text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables.

  We are open to hiring candidates to work out of one of the following locations:

  Madrid, M, ESP

  Basic Qualifications

  3+ years of building models for business application experience

  PhD, or a Master's degree and experience in CS, CE, ML or related field research

  Experience in patents or publications at top-tier peer-reviewed conferences or journals

  Experience programming in Java, C++, Python or related language

  Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

  Experience in building machine learning models for business application

  Preferred Qualifications

  Experience with related AWS services and large datasets with knowledge and practical experience with recommendation systems and/or NLP and/or Computer VisionAmazon 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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