Applied Scientist - Global Tax Engine & AI

Amazon; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Stock options

Paid time off

Job summary

Amazon Tax Platform Services seeks an Applied Scientist to drive ML leadership for tax classification models across global catalog data. You will work with SDEs, PMs, and business teams to design, train, and deploy scalable solutions handling large volumes of data and evolving regulations.

Applicants should have 3+ years of model-building experience (PhD or MS +4 years) and fluency in Java, C++, Python. You will explore LLMs and generative AI to improve accuracy and speed in a fast-paced

Qualifications

• 3+ years building models for business applications.
• PhD, or MS with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier venues.
• Proficient in Java, C++, Python and related languages.

Responsibilities

• Lead ML efforts to improve tax classification using scalable models.
• Collaborate with SDEs, PMs and business teams to deploy solutions.
• Experiment with large language models and generative AI for outcomes.
• Address complex global tax legislation with accurate computations.

Skills

ML leadership

Collaboration

Problem solving

Distributed computing

Education

PhD or MS in CS/ML

Tools

Java

C++

Python

Job description

Amazon Tax Platform Services seeks an Applied Scientist to drive ML leadership for tax classification models across global catalog data. You will work with SDEs, PMs, and business teams to design, train, and deploy scalable solutions handling large volumes of data and evolving regulations.

Applicants should have 3+ years of model-building experience (PhD or MS +4 years) and fluency in Java, C++, Python. You will explore LLMs and generative AI to improve accuracy and speed in a fast-paced