Machine Learning Engineer, Amazon Ads Identity

DESCRIPTION

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Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to have direct and immediate impact on millions of customers every day? Do you want to closely work with our experienced scientists to build Machine Learning identity based innovations? We are building the next generation of Identity products and services that will fuel the growth of Amazon’s advertising business. We are looking for self-driven and talented engineers to revel in designing, developing machine learning based identity building and resolution which operates for extremely high volume (internet-scale), low latency systems to drive revenue to Amazon.

Our systems and algorithms operate on internet scale serving advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the identity building and resolution in the ID-less world. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of Amazon Ads world wide. This is an opportunity to make a significant impact on the future of the Amazon Ads vision.

As a Software Development Engineer in Machine Learning at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across Ads workflows (40+ systems) world wide that integrate with AIP. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.

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