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In this role, you will build machine learning (deep learning) models to ensure tax correctness for sellers/vendors of Amazon, for a wide range of business requirements, ranging from document parsing, fraud detection, anomaly detection in large data sets, etc. You will collaborate with engineers to build, train and deploy these models.You will focus on unearthing customer problems and coming up with novel ways to solve these. You will propose hypotheses, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop production level code that runs on global ordering data.
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
- Master's degree
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