Senior GenAI Ads Scientist for Sponsored Products

Amazon Inc.; New York (NY); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon.com Services LLC's Sponsored Products and Brands team seeks a Sr. Applied Scientist to advance GenAI-powered advertising solutions at scale.

You will architect systems and prototypes that combine text, image, and multilingual capabilities to improve performance across Amazon's marketplaces. You will work with cross-functional partners to turn research into production experiments, optimize multi-task recommendation engines, and impact millions of advertisers and customers worldwide.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree with 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 scale worldwide from day one.
• Pioneer multi-modal GenAI applications for advertising across text, image, and multilingual support.
• Drive end-to-end innovation from research ideation to production deployment at Amazon scale.
• Lead cross-functional collaboration to translate science into customer impact.

Skills

Machine learning models

Programming: Java

Programming: C++

Programming: Python

Deep learning

Education

PhD

Master's + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon.com Services LLC's Sponsored Products and Brands team seeks a Sr. Applied Scientist to advance GenAI-powered advertising solutions at scale.

You will architect systems and prototypes that combine text, image, and multilingual capabilities to improve performance across Amazon's marketplaces. You will work with cross-functional partners to turn research into production experiments, optimize multi-task recommendation engines, and impact millions of advertisers and customers worldwide.