Tax Classification Machine Learning Leader

15 hours ago


Vancouver, British Columbia, Canada Amazon Full time
Job Description:

About Us:
At Amazon, we're committed to delivering exceptional customer experiences. Our Tax Platform Services team plays a crucial role in ensuring that our customers receive accurate tax calculations for their Amazon orders.

Salary Range: $149,300 - $249,300 per year

Your Role:
We're seeking an Applied Scientist to lead the development of machine learning models that improve tax classification accuracy in our global catalog. As a key member of our team, you'll work with large language models, build predictive models to enhance human accuracy, reason with system changes, and apply generative AI to model outcomes from sparse data.

Responsibilities:
- Develop and deploy machine learning models to improve tax classification accuracy
- Collaborate with cross-functional teams to identify areas for improvement and drive innovation
- Work with large datasets to build predictive models and analyze results
- Apply generative AI techniques to model complex systems and predict outcomes

Requirements:
- PhD or Master's degree in Computer Science, Engineering, or related field
- 3+ years of experience building models for business applications
- Strong programming skills in C++, Python, or related languages
- Experience with algorithms, data structures, parsing, numerical optimization, and high-performance computing
- Familiarity with NLP, language modeling, and GenAI technologies

Benefits:
As an Amazonian, you'll enjoy a comprehensive benefits package, including medical, financial, and other perks. Plus, you'll have the opportunity to work with a diverse and inclusive team, collaborate with top talent, and contribute to innovative projects that shape the future of e-commerce.

What We Offer:
- Competitive salary range: $149,300 - $249,300 per year
- Comprehensive benefits package
- Opportunity to work on cutting-edge projects and technologies
- Collaborative and dynamic work environment
- Professional growth and development opportunities


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