Job Overview

At Amazon, we are committed to being the Earth’s most customer‑centric company. The European International Technology group (EU INTech) owns the enhancement and delivery of Amazon’s engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects. You will be joining the Tools and Machine Learning (Tamale) team. As part of EU INTech, we tackle complex, high‑impact problems at the intersection of e‑commerce, AI, and customer experience — going well beyond traditional ML pipelines. Our work spans multiple frontiers: we build GenAI‑powered data solutions, enabling scalable and cost‑efficient training data generation at Amazon scale; we design and deploy agentic systems for detecting and fixing quality issues across Amazon's retail surfaces; and we develop ranking and recommendation models for Haul shopping experiences.

Key job responsibilities

- Work closely with business partners to identify opportunities for innovation.
- Apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality.
- Collaborate with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including design, development, testing, and deployment of highly scalable distributed services.




- Contribute to a team of scientists and engineers solving data quality issues at scale, influencing the scientific roadmap and setting standards for scientific excellence.
- Work with state‑of‑the‑art models, including image‑to‑text, large language models (LLMs), and GenAI.

Basic Qualifications

- Experience in building models for business application.
- Ph.D., or a Master’s degree and experience in CS, CE, ML or related field.
- Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.

Preferred Qualifications

- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
- Experience with state‑of‑the‑art deep learning models architecture design, deep learning training and optimization, and model pruning.
- Experience with popular deep learning frameworks such as MxNet and TensorFlow.

Equal‑opportunity employer

Amazon is an equal‑opportunity 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.

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📌 Applied Scientist, EU INTech Consumer Selection Discovery, Tamale - Madrid, Comunidad de Madrid, Spain
🏢 Talent
📍 Madrid