Experteer Overview
In this role you will own end-to-end AI/ML science projects that power Amazon’s global search and discovery experiences. You’ll translate complex business problems into rigorous science plans and deliver production-ready models at scale. Collaborating with ML engineers, software developers, PMs, and UX designers, you’ll push the state of the art in computer vision, ranking and GenAI to improve customer navigation. This is a hands-on, impact-driven scientist role with a strong emphasis on measurable business outcomes.

Compensaciones / Ventajas
• Translate business problems into well-defined science plans with milestones and success criteria
• Design, develop, and deploy ML/AI models end-to-end from research to production at Amazon scale
• Work with state-of-the-art models in computer vision, ranking, and generative AI to power new customer experiences




• Own major science challenges from ideation through experimentation to deployment
• Collaborate with cross-functional teams worldwide to deliver integrated solutions
• Influence scientific direction and best practices across the team
• Maintain high-quality standards on deliverables
• Contribute to advancing CV, ranking and GenAI through publications and knowledge sharing

Responsabilidades
• PhD in relevant field (CV, GenAI, Ranking, DL, Recommender Systems, NLP)
• Experience programming in Java, C++, Python or related language
• Experience building models for business applications
• Experience taking ML models from research to production at scale
• Experience with patents or publications at top-tier conferences or journals

Requisitos principales
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📌 Applied Scientist, EU INTech Consumer Selection Discovery, NintAI (Madrid)
🏢 Amazon
📍 Madrid