Applied Scientist, Eu Intech Consumer Selection, Tamale

Amazon

Madrid, Spain
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Machine learning solutions
Multi-objective ranking
State-of-the-art deep learning architectures
** Amazon is seeking an Applied Scientist for their EU INTech team in Madrid, focused on enhancing consumer selection through advanced machine learning and ranking solutions. The role emphasizes innovation, collaboration, and the development of scalable systems to improve customer browsing experiences. **

Job Summary

  • You will be joining the Tamale team to work on Haul.
  • You will apply machine learning solutions to optimize multi-objective ranking, improve discovery engagement through contextual signals, and scale ranking systems across multiple marketplaces.
  • Your work will improve the experience of millions of daily customers using Amazon Haul worldwide.

Matching Summary

Match Score: 75

** Amazon is seeking an Applied Scientist for their EU INTech team in Madrid, focused on enhancing consumer selection through advanced machine learning and ranking solutions. The role emphasizes innovation, collaboration, and the development of scalable systems to improve customer browsing experiences. **

Skills & Requirements

Must-have

  • machine learning solutions
  • multi-objective ranking
  • state-of-the-art deep learning architectures
  • large-scale recommendation systems
  • ranking models

Nice-to-have

  • passionate, talented, and inventive Scientist
  • hard work and obsession
  • customer impact and growth
  • solve complex problems

Key Requirements

  • strong machine learning background

Work Rights

Not specified

Tailored Resume

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