Amazon - Seattle, WA - Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Brands (SB) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their brands sold through Amazon. The SB team's primary goals are to help shoppers discover new brands they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. Are you passionate about Machine Learning, Search Relevance, and NLP? Are you interested in building new state-of-the-art relevance service? You and you team will develop state of the art query understanding, deep learning, and brand understanding to improve customer experience. Some things you'll do in this role: Study ad relevance with query understanding and brand understanding, and build machine learning models. Research new machine learning approaches Build machine learning models and utilize data analysis to deliver scalable solutions to business problems. Run A/B experiments, gather data, and perform statistical analysis. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. 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. Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field 2+ years of experience of building machine learning models for business application Experience programming in Java, C++, Python or related language Experience in Tensorflow, PyTorch 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://ift.tt/395YELS.... - Permanent - Full-time
source http://jobviewtrack.com/en-in/job-1e4e417e4e0d0a00531d53176a201e170949110c6841191e0e1c/a031ceeb2586072cfda27ffe44fc51f5.html?affid=f584d43114bf1954a48e3ec6be21b6ec
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