About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Madrid, Spain (hybrid). The posting calls out experience with Python, Java, Computer Vision, Linux. Listed education preference: a master's degree or equivalent.

Role: Applied Scientist
Function: machine learning
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Madrid, Spain
Work mode: Hybrid
Education: Master's degree
Department: Machine Learning Science
Posted: May 8, 2026

AI Summary

Applied Scientist designing and developing machine learning models for Amazon's catalog and search experiences, focusing on text-to-image and image-to-text models at global scale. Collaborate across teams to influence scientific direction and deliver production models. Requires PhD or Master's in CS/ML with proven experience building business-applied models and publishing at top-tier venues.

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Job description

from Amazon careers

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.

Basic Qualifications

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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

Preferred Qualifications

- Experience using Unix/Linux
- Experience in professional software development

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