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Tax Classification Machine Learning Lead
2 months ago
At Amazon, we are seeking an experienced Applied Scientist to lead our machine learning efforts in tax classification. This role will provide leadership and technical expertise to develop and deploy scalable and accurate machine learning models to classify products for tax purposes.
We are responsible for providing the core services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital, globally. Our challenges include staying on top of complex and ever-changing global tax legislations as well as computing calculations correctly and quickly, thousands of times a second, and each one needs to be accurate.
About the RoleThis position is part of our Tax Platform Services team, which provides the tax calculation platform for all Amazon sales. The successful candidate will be responsible for developing and deploying machine learning models to classify products for tax purposes, working closely with cross-functional teams, including software development engineers, product managers, and business stakeholders.
The ideal candidate will have 5+ years of experience building machine learning models for business applications, a PhD or Master's degree in a relevant field, and experience programming in Java, C++, Python, or related languages. Additionally, they should have experience with neural deep learning methods and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
What You'll GetA competitive salary: $150,000 - $200,000 per year, depending on your location and experience. Our estimated salary range is based on national averages in the United States and may vary depending on local market conditions. In addition to the base salary, you can also expect other forms of compensation, including stock options, bonuses, and benefits.
