Senior GenAI Scientist, Sponsored Ads & Brands

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Ads is seeking a Sr. Applied Scientist to join the Global Optimization science team, focusing on Sponsored Products and Brands. You will architect scalable GenAI systems and drive end-to-end experiments from research to production.

You'll collaborate with product, engineering, and business teams to translate science into customer value at Amazon scale, building multi-modal AI solutions for worldwide marketplaces from Seattle.

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 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

• Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
• Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
• Drive end-to-end innovation from research ideation through production deployment at Amazon scale.
• Lead cross-functional collaboration with product, engineering, and business teams to translate science into customer impact.

Skills

ML models experience

Deep learning methods

Java/C++/Python

Education

PhD, or Master's degree and 6+ years of applied research experience

Tools

Java

C++

Python

Job description

Amazon Ads is seeking a Sr. Applied Scientist to join the Global Optimization science team, focusing on Sponsored Products and Brands. You will architect scalable GenAI systems and drive end-to-end experiments from research to production.

You'll collaborate with product, engineering, and business teams to translate science into customer value at Amazon scale, building multi-modal AI solutions for worldwide marketplaces from Seattle.