Software Dev Engineer, Sponsored Products and Brands Ads Response Prediction

Amazon • Palo Alto, CA

1d

About The Position

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. About the team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.

Requirements

• 1+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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
• 2+ years of non-internship professional software development experience
• Bachelor's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Demonstrated track record of successfully implementing GenAI solutions in production environments, including model deployment, monitoring, and continuous improvement.

Responsibilities

• Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
• Partner with Applied Scientists to productionize and scale end-to-end generative AI solutions, optimizing model performance and inference infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees