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Tax Classification Machine Learning Specialist

2 months ago

Vancouver, British Columbia, Canada Amazon Development Centre Canada ULC Full time
About Amazon Tax Platform Services

We are responsible for the tax calculation platform, 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 the 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.

Job Description:

As an Applied Scientist, you will provide machine learning leadership to the team that helps increase the accuracy of tax classification based product information in Amazon catalogue making it the biggest and most challenging tax classification using Machine learning models globally. You will work with large language models to build various machine learning models to predict accuracy of human's on specific tasks, reason with large volumes of systems changes to identify causal determinants, and apply generative AI to model outcomes from sparse data.

Responsibilities:
  • Develop and deploy scalable machine learning solutions to improve tax classification accuracy
  • Collaborate with cross-functional teams to design and implement ML-based solutions
  • Analyze large datasets to identify patterns and trends relevant to tax classification
Requirements:
  • PhD or Master's degree in Computer Science, Data Science, or related field
  • 5+ years of experience in building and deploying machine learning models
  • Expertise in deep learning methods and large-scale machine learning systems
  • Programming skills in Java, C++, Python or related languages
Compensation:

The estimated base salary for this position is between $195,900/year and $327,200/year. Additionally, the total compensation package may include equity, sign-on payments, and other forms of compensation. Amazon is committed to offering a comprehensive benefits package including medical, financial, and other benefits. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.