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Amazon Corporate LLC Applied Science Manager - Machine Learning in Seattle, Washington

Amazon is investing heavily in building a world class advertising business. 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.Job Responsibilities:* Lead Science and Machine Learning for Amazon's Search Allocation team; tackle and drive challenging science and business problems that requires a balance between the interests of advertisers, shoppers, and Amazon.* Create, Develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities.* Own a portfolio of pragmatic and long-term investments to drive long term growth of the ads and retail businesses.* Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.Impact and Career Growth:* High impact and high visibility opportunity to lead and grow a cross-functional team of scientists, engineers and product managers.* Opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.* Drive real-time algorithms to allocate billions of ads per day in advertising auctions.* Have the ability to experiment autonomously with meaningful projects.* This is a high-visibility role managing a cross-functional team of scientists, engineers and product managers. You'll be responsible for developing roadmaps, staffing plans and growing your team.Why you love this opportunity:Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we have evolved from hundreds of millions in revenue to TENS OF BILLIONS!! SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. These are native ads that appear visually similar to other content on the page, which presents a huge opportunity for growth and impact, but also a significant responsibility to protect shopper experience. This is a rare opportunity to define new and innovative solutions!Team video\_6Lzw8raE* PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.* At least 5 years years of related work experience.* Proven track record of managing science teams, hiring and developing science talent.* Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.* Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.* Deep business and technical vision.* Prior experience in online advertising or search ranking* At least 8 years of related work experience.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit