Software Development Engineer, Sponsored Products and Brands

About the Role

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced 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.

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.

A Day in the Life

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.
• Design and deliver high-quality, architecturally sound systems aligned with business needs.
• Develop globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers.
• Redefine how ads are retrieved, allocated, and experienced, elevating them into personalized, contextually aware, and inspiring parts of the customer journey.

About the Team

The Off-Search team within Sponsored Products and Brands (SPB) focuses on building 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 and remains relevant to seasonal and event-driven moments.
• Integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options.

We work closely with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search, operating full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.

Basic Qualifications

• 3+ years of non-internship professional software development experience
• Bachelor’s degree in computer science or equivalent
• Knowledge of programming languages such as C/C++, Python, Java, or Perl
• Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving, and complexity analysis)

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master’s degree in computer science or equivalent
• Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
• Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
• Experience with AWS services or other cloud offerings
• Experience with end-to-end ownership of major project deliverables

Diversity & Inclusion

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 here.

Compensation & Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental Life plans)
• EAP, Mental Health Support, Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off and parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.