Do you want to shape Amazon's experimentation capabilities in the era of Generative AI ? Our team develops experimentation capabilities that enable millions of Catalog data experiments. As we navigate the rapidly changing landscape of e-commerce and content generation, particularly with the advent of Generative AI, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog data for superior customer experience. Our team's work is more important than ever as we help Amazon navigate the new era of AI-assisted content generation. We're building tools that allow our partners to rapidly iterate and measure the impact of new ideas, ensuring that the exponential growth in content translates to real value for our customers.

Our organization has a strong focus and great track record of growing our employees. This is a unique position that provides an opportunity to build data-driven systems at a scale. While building this platform, you will have the opportunity to learn the entire suite of Amazon catalog systems and services (ingestion, enrichment, validation, reconciliation, matching, storage,...) as well as the customer facing systems (search, product detail page, checkout page...) that consume and display catalog data. You'll also gain exposure to application of Gen-AI technologies, including large language models for image and text generation for catalog enrichment. This role offers a unique opportunity to work at the intersection of e-commerce systems and emerging AI technologies, allowing you to shape how we leverage Gen-AI to improve catalog quality, experiment with AI-generated content, and enhance overall customer experience.

Key job responsibilities
1. Design and implement specific features and components for the experimentation platform.
2. Build and maintain measurement systems and metrics collection frameworks.
3. Write scalable, efficient code to support the platform's growing user base, focusing on specific components or services.
4. Develop new capabilities that enable users to effectively evaluate and optimize AI-generated content, ensuring we deliver the best value to our customers
5. Work with product managers and other engineers to understand requirements and translate them into technical solutions.
6. Participate in code reviews, share knowledge with junior engineers, and contribute to team's technical discussions.