Find your next role

DESCRIPTION

Personalization’s (P13N) mission is to make Amazon more valuable for customers through relevant and timely product, program, and content recommendations and engaging shopping experiences. We delight customers by discovering the right items for them and making purchase decisions easier. We build systems and technology to enable teams across Amazon to personalize every customer interaction and optimize every aspect of these interactions using our proven techniques.

As a member of the Product Intelligence team within Personalization, you will play a key role in establishing the next-generation product understanding solution, the 'Product Intelligence Graph'. Our technical strategy involves integrating product attributes, customer behavior, world knowledge, and contextual data by leveraging advanced machine learning models and LLMs. Our solution will address use cases for inventory management, optimizing bundles, and providing real-time, context-aware recommendations. With an API-first framework, teams across Amazon will access and build on this product understanding, enhancing initiatives like Search, Personalization, and Advertising to deliver a more seamless and intuitive shopping experience. You will take academic research from theory to production implementation, overcoming performance, scalability, and resiliency challenges. You should enjoy optimization through rapid experimentation, uphold high standards, and possess the ability to implement solutions in the face of ambiguity. Experience in specialized areas such as Machine Learning, Natural Language Processing, Text Mining, Search, LLMs, or Recommendation Systems is highly desirable.

Key job responsibilities
- Design and develop robust and scalable machine learning systems that process large volumes of data
- Applying the latest in machine learning research to solving very large scale problems
- Influence decisions in choosing the right technology to build components.
- Join a great group of motivated people and work with them to solve interesting and useful problems in a fun, collaborative environment.