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Description

About Sponsored Products and Brands

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!

As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering.

Key job responsibilities

This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:

* Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.

* Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.

* Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.

* Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.

* Write high-quality, maintainable code and participate in design and code reviews.

* Drive operational excellence through monitoring, automation, and continuous improvement.

About the team

The Off-Search team within Sponsored Products and Brands delivers delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal/event-driven moments, and integrates with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. We operate full-stack—from ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences.

Basic Qualifications

- 7+ years of non-internship professional software development experience

- 7+ years of programming with at least one software programming language experience

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience as a mentor, tech lead or leading an engineering team

- Experience building complex software systems that have been successfully delivered to customers

- Bachelor's degree

Preferred Qualifications

- Master's degree

- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale and familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face).

- Experience in building machine learning systems, recommendation engines, or large-scale data pipelines. Experience with AWS services or other cloud platforms. Strong track record of delivering complex projects end-to-end.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $151,300/year in our lowest geographic market up to $261,500/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.