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Added 5 mins ago
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Added 49 mins ago
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Amazon Science

Applied Scientist, Tax Engine

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Posting language: English
Posted: Aug 25, 2026

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Original job description

Description

Would you like to work on developing AI systems models for one of the largest transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with high volume data ? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve business problems, Amazon Tax Platform Services is the place for you.

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. We seek to provide the correct tax amounts to the customer when placing their Amazon order, and ensure all records are stored safely to meet tax law requirements around the globe. 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.

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 and legislative changes to identify causal determinants, apply generative AI to model outcomes from sparse data.

You will help us innovate different ways to enhance tax classification experience for our global customers.

You will need to be entrepreneurial, work in a highly collaborative environment with SDEs, Product managers and businesses. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.

Basic Qualifications

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

Experience using Unix/Linux
Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 149,300.00 - 249,300.00 CAD annually

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More about this job

Responsibilities

Lead machine learning work to improve the accuracy of tax classification for product information in Amazon’s catalog. Develop and apply models using large language models, generative AI, and large-scale data to predict task accuracy, identify causal factors, and improve tax classification for global customers.

Requirements

Requires at least three years of experience building models for business applications, plus a PhD or a master’s degree and at least four years of experience in computer science, computer engineering, machine learning, or a related field. Candidates must have patents or publications at top-tier peer-reviewed venues, programming experience in Java, C++, Python, or a related language, and experience in at least one listed technical area such as algorithms, data mining, or distributed computing.

Skills

Machine Learning
Applied Science
Large Language Models
Generative AI
Tax Classification
Model Development
Causal Analysis
Python
Java
C++
Algorithms and Data Structures
Parsing
Numerical Optimization
Data Mining
Parallel and Distributed Computing
High-Performance Computing

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan (DPSP)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Amazon Tax Platform Services
Tax Calculation Platform
Sales Tax
Value-Added Tax (VAT)
Tax Classification
Product Catalog
Machine Learning
Applied Science
Large Language Models
Generative AI
Causal Analysis
Model Accuracy
Sparse Data
Legislative Changes
Java
C++
Python
Algorithms
Data Structures
Parsing
Numerical Optimization
Data Mining
Parallel Computing
Distributed Computing
High-Performance Computing
Unix
Linux
Peer-Reviewed Publications
Scalable Systems
Tax Compliance

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