Machine Learning Scientist Tax Platform
Ml Jobs
Advance Amazon’s tax calculation platform through machine learning leadership, algorithms, and large language models. Work on accurate classification across global sales and digital transactions.This Applied Scientist role focuses on Amazon Tax Platform Services, which calculates sales tax and VAT for Amazon sales worldwide. You will create models for the catalogue’s tax classification challenges, work with high-volume data, and support accurate, rapid calculations. The work includes reasoning through complex systems and changing tax legislation.Key Responsibilities:
Lead machine learning development for tax classificationBuild scalable models using large language modelsPredict human accuracy on specific classification tasksIdentify causal determinants from systems and legislative changesInnovate tax classification methods for global customersRequirements:
Experience building business application models for three-plus yearsPhD or master’s degree with four-plus years’ experienceExperience with algorithms and data structures or parsingExperience with numerical optimization or data miningExperience programming in Java, C++, Python, or related languagesUse machine learning, algorithms, and data-driven reasoning to improve Amazon’s complex global tax calculation services.
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Lead machine learning development for tax classificationBuild scalable models using large language modelsPredict human accuracy on specific classification tasksIdentify causal determinants from systems and legislative changesInnovate tax classification methods for global customersRequirements:
Experience building business application models for three-plus yearsPhD or master’s degree with four-plus years’ experienceExperience with algorithms and data structures or parsingExperience with numerical optimization or data miningExperience programming in Java, C++, Python, or related languagesUse machine learning, algorithms, and data-driven reasoning to improve Amazon’s complex global tax calculation services.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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