Applied Scientist Generative Ai Tax

Apply generative AI, causal reasoning, and sparse-data modeling to Amazon’s global tax classification challenges. Collaborate with technical and business partners on complex systems.Amazon Tax Platform Services provides core tax calculation services for physical and digital Amazon sales globally. As an Applied Scientist, you will develop artificial intelligence systems and machine learning models for catalogue tax classification. You will collaborate with software development engineers, product managers, and businesses while experimenting, iterating, and scaling solutions thoughtfully.Key Responsibilities:
Model outcomes from sparse data using generative AIDevelop machine learning models for product classificationAnalyze large volumes of systems and legislative changesPredict human performance on defined tasksCollaborate with SDEs, product managers, and businessesRequirements:
Three-plus years building models for business applicationsPhD, or master’s degree and four-plus years’ experiencePatents or publications in leading peer-reviewed conferences or journalsProfessional software development experience preferredUnix or Linux experience preferredBring applied science, generative AI, programming, and causal analysis to Amazon’s global tax classification work.
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