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Software Development Engineer, Sponsored Products

Amazon

Amazon

Software Engineering
New York, NY, USA · Seattle, WA, USA · United States
Posted on Dec 20, 2024

DESCRIPTION

** This position is open to candidates in New York and Seattle **

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.

As a Software Development Engineer in Sponsored Products at Amazon, you will drive the technical direction of our offerings and solutions, working with many different technologies across theSponsored Products organization. You will design, code, troubleshoot, and support scalable machine learning or data pipelines and online ads serving systems. You will work closely with other engineers and partner scientists, product managers to innovate bespoke shopping experiences on Amazon for different categories, different cohorts of shoppers and under different contexts. What you create is also what you own.