Build machine learning models for Amazon Tax Platform Services, applying large language models and generative AI to tax classification accuracy. Solve complex business problems with high-volume data.As an Applied Scientist, you will provide machine learning leadership for tax classification using product information from Amazon’s global catalogue. You will develop models that predict human performance on specific tasks, identify causal determinants across systems and legislative changes, and model outcomes from sparse data. The work supports tax calculations for Amazon sales worldwide.Key Responsibilities:



Build machine learning models for tax classification accuracyApply large language models to complex tax problemsUse generative AI to model outcomes from sparse dataReason across systems and legislative changesEnhance tax classification experiences for global customersRequirements: Three-plus years building models for business applicationsPh D, or master’s degree with four-plus years’ experienceExperience in computer science, computer engineering, machine learning, or related fieldsPatents or publications in top-tier peer-reviewed venuesProgramming experience in Java, C++, Python, or related languagesApply algorithms, programming, machine learning, and generative AI to advance Amazon’s global tax classification platform.#J-18808-Ljbffr

📌 Applied Scientist Tax Machine Learning (Vancouver)
🏢 Amazon
📍 Vancouver