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Posted: Wednesday, May 10, 2017 5:35 AM

A fulfillment center can appear to be a chaotic place. With millions of items moving in and out of an area twice as large as your average theme park every day, a quick peek under the roof would reveal a manic scene. You would see associates, machinery, vehicles, robots, and packages flying about at break:neck speeds and accessing a breathtaking number of shelves and bins that store products. In reality, however, this activity is all highly organized and orchestrated by software, with each movement carefully planned and optimized. However, there are times when mistakes occur: products may disappear, reappear in strange places, become damaged, or worse. When that happens, how does a fulfillment center operating at that size, speed, and scale recover gracefully and with minimal cost? How do we ensure that we meet our commitments to our customers and merchants? How do we find a needle in a haystack when weA?re constantly shuffling the haystack around? And how do we do it at extreme scale in an environment of constant growth? ThatA?s where we come in, the AFT Quality team. Our goal is to prevent entropy in a system in which there are billions of transactions driven by human and robotic input across hundreds of millions of items every year. We must ensure that the virtual and physical state of the world is aligned inside hundreds of AmazonA?s fulfillment centers globally. When our job is done well mistakes are corrected quickly, and products are always ready to sell and ship. We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard:earned expertise in operations to build automated, algorithmic approaches to solving these problems at minimal cost. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. So what should you expect from this role? Major responsibilities: Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problemsAnalyze and extract relevant information from large amounts of AmazonA?s historical business data to help automate and optimize key processesDesign, develop and evaluate highly innovative models for predictive learningEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationResearch and implement novel machine learning and statistical approachesMasters or PhD in Computer Science, Machine Learning, Statistics or a related quantitative field5+ years of hands:on experience in Applied machine learning, Predictive modeling and analysisStrong algorithm development experienceSkills with Java, C++, or other programming language, as well as with R, Python or similar scripting languageDemonstrated ability to effectively deal with ambiguity and deliver resultsStrong communication and data presentation skills7+ years of relevant experience in industry and/or academia.A strong track record of innovating through machine learning and statistical algorithms and their applications.Strong demonstrated skills implementing and deploying large scale machine learning applications and toolsAmazon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


• Location: Seattle

• Post ID: 46592098 seattle is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017