Within the Amazon Fashion and Fitness organization, our team's mission is to help customers discover and shop for products that are trendy and complementary to their shopping needs, enabling them to make purchase decisions for items they truly love. We are looking for a passionate and innovative Software Development Engineer who can join us to build large, cross-functional programs that leverage cutting-edge engineering and ML/LLM technologies for detecting industry trends, and use those insights to make Amazon the most loved destination for customers to discover and shop for trendy products. We are seeking individuals who love solving complex problems, can address the challenges our customers face in discovering items that align with their preferences and inspire their sense of style, and can thrive in a fast-paced environment where we rapidly deliver innovative features on behalf of our customers.

Being a member of our team, you will be:

- Having significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.
- Building highly scalable data pipelines and services that can be expanded worldwide to power innovative customer experiences, as well as developing new solutions that improve product discoverability, educate customers about trends, and build personalized shopping experiences.
- Using cutting edge technologies, machine learning and computer vision techniques to infer various datasources to provide most relevant suggestions to our customers and to improve the discovery of items.
- Building systems that will impact millions of customers and create multi-million dollar revenue opportunities, ship in just a couple of weeks and instantly measure the dollar value of what you have developed.
- Working with a group of top-notch software developers and applied scientists, seasoned product and program managers, and creative visual designers who form a great team to raise the bar on the customer experience.