Senior Scientist, Shopping Discovery and Evaluation

hace 4 semanas


Barcelona, Barcelona, España Amazon A tiempo completo

Job Summary

We are seeking a highly skilled Principal Applied Scientist to join our Shopping Discovery & Evaluation team at Amazon. As a trusted part of the technical leadership, you will bring business and industry context to science and technology decisions, setting the standard for scientific excellence and making decisions that affect the way we build and integrate algorithms.

Key Responsibilities

  • Define key research directions, adopting or inventing new machine learning techniques.
  • Conduct rigorous experiments and publish results.
  • Ensure that research is translated into practice.
  • Develop long-term strategies and persuade teams to adopt those strategies.
  • Propose goals and deliver on them.
  • Participate in organizational planning, hiring, mentorship, and leadership development.
  • Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance).

About the Team

We are the Shopping Discovery & Evaluation team, and our vision is to make Amazon the internet's most trustworthy, helpful, and delightful guide for customers on any shopping mission. From the moment customers visit our store, we help them find what they are looking for and delight in our vast offering of products and services.

We create immersive, visual, and personalized shopping experiences that inspire customers to kickstart their next shopping journey. We bring together trusted, authentic inputs from the community and surface those inputs with the help of generative AI to help customers confidently inform their next purchase.

Requirements

  • PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science.
  • 10+ years of combined academic and research experience.
  • Strong publication record in top-tier journals and conferences.
  • Functional thought leader, sought after for key tech decisions.


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