Software Development Engineer II - Recommendation Systems, Amazon Personalization

Are you passionate about AI for recommendation systems? Do you want to influence the content that customers see at Amazon.com? Our recommendation services team designs and implements scalable machine learning solutions to personalize and optimize customer experience across Amazon retail pages. We are looking for an applied scientist to join us in this exciting journey.

About our organization:
Our team is part of Amazons Personalization organization, a high-performing group that leverages Amazons expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as Customers who bought this item also bought, Frequently bought together, and "Keep shopping for ...". Amazons internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.

Our mission is to provide a single integration point to an open marketplace of personalized content and centrally apply content eligibility requirements for Amazon. We support more than 500 teams across Amazon who interact with our services and tools directly. We have medium ops load with a weekly average of 2-3 sev-2 tickets. Our team gives importance to work-life balance. You will have ample opportunities to mentor junior software engineers and interns on the team. You also have access to Senior SDEs and PEs across the Personalization org to help you develop your career.

About the team
Our team enables innovation on behalf of our customers by making it easy to get the right content in front of the right customers at the right time. We build services that utilize a deep understanding of the customer, context, and content, to decide what to show on every page on Amazon. Our service returns dynamic content generated at runtime that is ranked by machine learning models. This unique architecture enables hundreds of teams across Amazon to launch new personalization experiments and have massive impact on millions of customers worldwide.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship 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
- Bachelor's degree in computer science or equivalent
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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.