Senior Applied Scientist, GenAI Ads & Auctions

Amazon; New York (NY); On-site; USD 183,800 - 248,700; Full time

Job summary

Amazon in New York, NY is seeking an Applied Scientist III to advance GenAI-driven ranking and auction systems for Sponsored Products and Brands. You will lead end-to-end projects with product managers and engineers, building scalable ML models and evaluating them through A/B experiments to improve customer experience.

You will collaborate with cross-functional teams, shape problem formulations, and drive impactful research across large-scale ad auctions that reach millions of shoppers daily.

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 improve Amazon's Search page.
• Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
• Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
• Research new and innovative machine learning approaches.

Skills

ML models

Java/C++/Python

Deep learning

Applied research

Auctions design

Education

PhD or MS+6 years

Tools

Hadoop

Spark

R

scikit-learn

TensorFlow

MxNet

numpy/scipy

Job description

Amazon in New York, NY is seeking an Applied Scientist III to advance GenAI-driven ranking and auction systems for Sponsored Products and Brands. You will lead end-to-end projects with product managers and engineers, building scalable ML models and evaluating them through A/B experiments to improve customer experience.

You will collaborate with cross-functional teams, shape problem formulations, and drive impactful research across large-scale ad auctions that reach millions of shoppers daily.