DESCRIPTION

Passionate about books? The Amazon Books personalization team is looking for a talented Applied Scientist II to help develop and implement innovative science solutions to make it easier for millions of customers to find the next book they will love. In this role you will:

- Collaborate within a dynamic team of scientists, economists, engineers, analysts, and business partners.

- Utilize Amazon's large-scale computing and data resources to analyze customer behavior and product relationships.

- Contribute to building and maintaining recommendation models, and assist in running A/B tests on the retail website.

- Help develop and implement solutions to improve Amazon's recommendation systems.

Key job responsibilities
The role involves working with recommender systems that combine Natural Language Processing (NLP), Reinforcement Learning (RL), graph networks, and deep learning to help customers discover their next great read. You will assist in developing recommendation model pipelines, analyze deep learning-based recommendation models, and collaborate with engineering and product teams to improve customer-facing recommendations.

As part of the team, you will learn and contribute across these technical areas while developing your skills in the recommendation systems space.

A day in the life
In your day-to-day role, you will contribute to the development and maintenance of recommendation models, support the implementation of A/B test experiments, and work alongside engineers, product teams, and other scientists to help deploy machine learning solutions to production. You will gain hands-on experience with our recommendation systems while working under the guidance of senior scientists.

About the team
We are Books Personalization 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 Personalization 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.