Senior Applied Scientist, GenAI Ads Auctions

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

Benefits offered by this job

RSUs

Sign-on bonus

Comprehensive benefits

Job summary

Amazon Science, within Sponsored Products and Brands, reimagines advertising with GenAI and ML to improve how customers discover products. As a Sr.

Applied Scientist on the Search Ranking and Interleaving team, you will shape models and systems that determine ad relevance and placement, collaborating with search, retail partners, engineers, and PMs. You will lead end-to-end projects, formulate problems with PMs, build models, run A/B experiments, and push the boundaries of GenAI in advertising

Qualifications

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

Responsibilities

• Architect next-generation systems that improve Amazon's Search page.
• Pioneer breakthrough applied science in multi-modal GenAI applications for advertising.
• 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 model development

GenAI techniques

Cross-functional collaboration

Problem formulation with PMs

Education

PhD or MS with 6+ years

Tools

Java

C++

Python

Job description

Amazon Science, within Sponsored Products and Brands, reimagines advertising with GenAI and ML to improve how customers discover products. As a Sr.

Applied Scientist on the Search Ranking and Interleaving team, you will shape models and systems that determine ad relevance and placement, collaborating with search, retail partners, engineers, and PMs. You will lead end-to-end projects, formulate problems with PMs, build models, run A/B experiments, and push the boundaries of GenAI in advertising