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Sr. Applied Scientist, Books Core Recommendations
Amazon
Seattle, WA, USA
Posted on May 17, 2025
DESCRIPTION
Passionate about books? The Amazon Books personalization team is looking for a talented Applied Scientist III to help invent, design, and deliver innovative science solutions to make it easier for millions of customers to find the next book they will love. In this role you will:
- Be a part of a dynamic team of scientists, economists, engineers, analysts, and business partners.
- Use Amazon's large-scale computing and data resources to generate deep understandings of our customers, and products.
- Build models to generate recommendations and run them as large scale A/B tests directly on the retail website.
- Design, implement, and deliver novel solutions to some of Amazon's most complex problems.
Key job responsibilities
The role is focused on recommender systems bridging Generative AI, Natural Language Processing (NLP), Reinforcement Learning (RL), graph networks, and deep learning to help find the next great read for Books customers. You will build recommendation model pipelines, identify technical opportunities within complex deep learning-based recommendation models, and work with engineering and product leaders to power customer-facing recommendations.
As part of the team, you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.
A day in the life
From day-to-day, you will research and develop models that power customer facing recommendations, design and implement A/B test experiments, as well as collaborate with engineers, product, and other scientists to get machine learning solutions into production.
About the team
We are Books Core Recommendations, a collaborative group of 5-7 scientists, 2 product leaders, and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Core Recommendations is a part of the Books Content Demand organization, which focuses on surfacing the best books for customers wherever they are in their current book journey.