Senior ML Scientist: GenAI for Ads & Personalization

Amazon

Seattle (WA)

On-site

USD 167,000 - 226,000

Full time

2 days ago
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Job summary

Amazon.com Services LLC, working within the Sponsored Products and Brands (SPB) team, seeks a Machine Learning Applied Scientist to advance predictive models and GenAI solutions. You will analyze data, build scalable models, run experiments, and partner with software engineers to deploy end-to-end solutions across ad placements and devices worldwide.

The role emphasizes responsible AI and collaboration with cross-functional teams to optimize advertising performance and customer insights.

Qualifications

  • 3+ years building machine learning models for business applications.
  • PhD or Master’s degree plus 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Conduct deep data analysis to derive insights for the business and identify gaps and opportunities.
  • Develop scalable ML models and optimization strategies to solve business problems.
  • Run regular A/B experiments, collect data, and perform statistical analysis.
  • Collaborate with software engineers to deliver end-to-end solutions into production.
  • Improve scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving.
  • Research new ML modeling and GenAI solutions to optimize SPB business.

Skills

ML model dev
Deep learning
A/B testing
Statistical analysis

Education

PhD or MS + 6y research

Tools

Java
Python
C++

Job description

Amazon.com Services LLC, working within the Sponsored Products and Brands (SPB) team, seeks a Machine Learning Applied Scientist to advance predictive models and GenAI solutions. You will analyze data, build scalable models, run experiments, and partner with software engineers to deploy end-to-end solutions across ad placements and devices worldwide.

The role emphasizes responsible AI and collaboration with cross-functional teams to optimize advertising performance and customer insights.

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