Software Development Engineer, Sponsored Products and Brands Off-Search

About the role

The role involves designing, developing, and operating large-scale distributed systems for Sponsored Products and Brands advertising. Responsibilities include building and optimizing data pipelines and services to improve ad retrieval, allocation, and recommendations. Additionally, applying Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.

Responsibilities

• 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 Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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.

Basic Qualifications

• 3+ years of non-internship professional software development experience.
• 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).
• Experience designing, building, operating, and managing large-scale distributed systems or web services.

Preferred Qualifications

• 5+ 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.
• 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.