Software Development Engineer II Product Graph - Shopping Personalization

Personalizations (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 Graph team within Personalization you will play a key role in establishing the nextgeneration product understanding solution. 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 realtime contextaware recommendations. With an APIfirst 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.

3 years of noninternship professional software development experience
1 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Experience building complex software systems that have been successfully delivered to customers
Experience in machine learning data mining information retrieval statistics or natural language processing

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.