Senior Applied Scientist, Frontier AI Tooling

Amazon Inc.

Seattle (WA)

On-site

USD 167,000 - 226,000

Full time

10 days ago

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Job summary

Amazon Inc. is seeking a Senior Applied Scientist to drive high-impact AI/ML initiatives across the Frontier AI and Proserve organizations. You will own end-to-end problems—from framing with business leaders to deploying models that scale customer value—and set technical direction for ambiguous challenges.

You will mentor scientists and collaborate with AWS Sales to deliver trusted AI tooling solutions. The role requires expert quantitative methods, strong communication for executives and

Qualifications

  • PhD, or Master’s degree and 6+ years of building machine learning models for business applications.
  • Experience with SQL and Python scripting.
  • Experience in written and verbal communication with the ability to present complex technical information to executives and non-technical leaders.
  • Experience managing and deploying ML products.

Responsibilities

  • Own the full lifecycle of complex science problems: problem framing, data exploration, method selection, modeling, evaluation, and production deployment.
  • Set technical direction on ambiguous problems and make the design decisions that others build on.
  • Partner with business stakeholders across Sales & Delivery consultants to turn open-ended business questions into well-scoped science, and translate results into recommendations leaders act on.
  • Raise the scientific bar across the team through design reviews, mentorship, and hands-on guidance.
  • Communicate methods, trade-offs, and results clearly to both technical and non-technical audiences.
  • Use Python, PySpark, and SQL for data analysis and model development.

Skills

SQL
Python
Machine learning
Communication
Mentorship

Education

PhD or Master’s + 6+ years ML experience

Job description

Amazon Inc. is seeking a Senior Applied Scientist to drive high-impact AI/ML initiatives across the Frontier AI and Proserve organizations. You will own end-to-end problems—from framing with business leaders to deploying models that scale customer value—and set technical direction for ambiguous challenges.

You will mentor scientists and collaborate with AWS Sales to deliver trusted AI tooling solutions. The role requires expert quantitative methods, strong communication for executives and

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