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Amazon Corporate LLC Applied Scientist ML/DL in Seattle, Washington

Job summaryNot many teams aspire to zero. Welcome to the Worldwide Returns, ReCommerce & Sustainability team (WWRR&S) at is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the four zeroes: Zero Defects, Zero Cost of Returns, Zero Product Waste and Zero Carbon. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns, ReCommerce, and Sustainability.Amazon WWRR&S is comprised of business, product, operational, program, software engineering, applied science and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.The Worldwide Returns, Recommerce and Sustainability (WWRR&S) science team accelerates the Amazon flywheel by devising data-driven solutions to maximize efficiency and optimize the recovery of all business processes. The charter of the team is to automate & optimize for WWRR&S that includes - Dynamic Used-Item Pricing, Fraud Detection, Automated Intent Classification, Model Management Framework, and so on. We utilize state of the art Deep Learning, NLP, Computer Vision, and Forecasting techniques to improve the overall customer experience, optimize business processes and create a resounding business impact.About the hiring groupWe are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.Amazon is earth's most customer-centric company and through WWRR&S, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, Recommerce & Sustainability team!Key job responsibilities* Design, develop, and evaluate highly innovative machine learning models to assist returns, recommerce, and sustainability org in serving customers.* Help analyze and formulate business problems into machine learning problems and test feasibility, applicability, and impact of models via proofs of concept, A/B testing, and predictive modeling.* Analyze and extract information from large amount of historical data to propose models to automate and optimize key processes.* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.* Research cutting edge AI and ML techniques to help build innovative models, document, and write reports, articles, as well as peer reviewed papers with the results of the research and development.* Work closely with data, and software engineering teams to make model implementations production ready and integrate successful models and algorithms in production systems at Amazon scale.* Be a tec