Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers. Job Responsibilities: Conduct hands-on data analysis, build large-scale machine-learning models and pipelines Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Provide technical leadership, research new machine learning approaches to drive continued scientific innovation Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences Help attract and recruit technical talent Impact and Career Growth: This is a technical leadership role and you will have significant impact on this team as well as drive cross team projects that consist of Applied Scientists, Data Scientists, Software Economists, and Software Development Engineers. This is a highly visible role that will help take our products to the next level. You will work alongside many of the best and brightest science and engineering talent and the work you deliver will have a direct impact on customers and revenue Why you love this opportunity: 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. Basic Qualifications PhD degree with 4 years of applied research experience or a Masters degree and 6 years of experience of applied research experience 3 years of experience of building machine learning models for business application Experience programming in Java, C++, Python or related language Breadth and depth in knowledge and applications of machine learning algorithms and best practices. At least 5 years of hands-on experience in building Machine. Learning solutions to solve real-world problems. At least 3 years of experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. At least 3 years of experience with, at least, one modern programming language such as Java, Python, Scala, C++ 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 https://www.amazon.jobs/en/disability/us.
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