Senior AI Scientist for Frontier Tooling & GenAI

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 167,000 - 226,000

Full time

24 hours ago
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Benefits offered by this job

Health insurance
401(k)
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to own high-impact, end-to-end ML projects spanning GenAI agents, knowledge graphs, and recommendations for AWS Frontline teams in Seattle and beyond.

You will partner with Sales & Delivery to translate business questions into deployable ML solutions, set technical direction on ambiguous problems, and mentor junior scientists while communicating results to executives and non-technical partners.

Qualifications

  • PhD or Master’s with 6+ years ML experience.
  • Experience with SQL and Python.
  • Strong written and verbal communication to executives and non-technical leaders.
  • Experience managing and deploying ML products.

Responsibilities

  • Own full lifecycle of complex science problems: framing, data exploration, modeling, and production deployment.
  • Set technical direction on ambiguous problems and make design decisions.
  • Partner with Sales & Delivery consultants to translate business questions into science and recommendations.
  • Raise the scientific bar through reviews, mentorship and hands-on guidance.
  • Communicate methods, trade-offs, and results to technical and non-technical audiences.
  • Use Python, PySpark, and SQL for data analysis and model development.

Skills

Python
PySpark
SQL
Machine learning
Communication
Mentorship
Stakeholder management

Education

PhD
Master's degree in a relevant field

Job description

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to own high-impact, end-to-end ML projects spanning GenAI agents, knowledge graphs, and recommendations for AWS Frontline teams in Seattle and beyond.

You will partner with Sales & Delivery to translate business questions into deployable ML solutions, set technical direction on ambiguous problems, and mentor junior scientists while communicating results to executives and non-technical partners.

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