Want to run machine learning models at scale to drive the quality of Earth's largest e-commerce catalog? The Amazon product catalog is a set of records where each record is a set of facts describing a physical or digital product. In a high-quality catalog, every product is uniquely represented with a complete, structured, accurate, and correctly-normalized set of facts, and every relationship between products that benefits customer experience is present. An information-rich and accurate product enables our customers to make well-informed decisions and is a strategic asset for Amazon. Our team identifies products that are challenging for customers to disambiguate from each other and creates relationships between them to empower catalog, discovery, and shopping teams to improve customer experience for such selection. As a member of our team, you will work on a wide range of ML problems, such as classification, fact extraction, and relationship inference. You will build distributed software
Basic qualifications: · Bachelor's degree in in Computer Science, Engineering, Applied Mathematics, or in a related quantitative field. · Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis. · Solid understanding of Object-Oriented design and concepts. · Proficiency in at least one modern programming language such as Java, Scala, Python, C++, C#. · At least 2 years of experience in the job offered or related occupation, such as Software Engineer, Software Developer, etc. · At least 1 year of experience in the job offered or related