Applied Scientist, Tax Engine

Vancouver, BC
On-site
Posted Oct 11, 2026
1 position

$149,300–$249,300 / year

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Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Apply by: Oct 21, 2026
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level

Job summary

Lead machine learning work to improve the accuracy of tax classification for product information in Amazon’s catalog, using large language models and other models to predict human task accuracy, analyze legislative and system changes, and model outcomes from sparse data. Collaborate with software engineers, product managers, and business teams to experiment, improve the tax classification experience, and scale solutions for global customers.

Job details

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

What you’ll do

Requirements

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