Machine Learning Engineer


Job Overview


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.

As a Machine Learning Engineer on the Sponsored Products Allocation and Pricing Team, you’ll work with Product Managers, Economists and Applied Scientists to design and build mechanisms to optimize how the auction makes trade-offs between publisher, advertiser and shopper concerns. You’ll build scalable and performant ML and optimization infrastructure and simulation tools to power a multi-billion dollar ad program.
We are a highly motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. This is an opportunity to make a significant impact on the future of the Amazon vision.

A successful candidate will be highly analytical and self-driven. They will be able to handle a high degree of ambiguity. They can identify problems, design and implement solutions and monitor and maintain them.


· 2+ years of non-internship professional software development experience
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.


· Experience working with high-performance scalable systems
· Experience in online advertising
· 5+ years of industry experience
· MS/PhD in Computer Science or a related technical discipline

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


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