Applied Scientist, Tax Engine
Core
Develop AI systems and machine learning models to enhance tax classification accuracy for Amazon's global sales platform.
Role type
Applied Scientist (Machine Learning)
Builds
Machine learning models for tax classification and prediction of human accuracy on specific tasks.
Domain
E-commerce / Taxation / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model building, large language models, generative AI, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Responsibilities
Build ML models to predict accuracy of human tasks, reason with legislative changes to identify causal determinants, apply generative AI to model outcomes from sparse data, innovate tax classification experiences.
Seniority
Mid-Senior level (3+ years experience)