Applied Scientist - Generative AI for Ads & Personalization

Amazon; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Amazon Ads’ Sponsored Products and Brands team is pioneering AI-driven advertising, balancing creative insight with responsible AI. As an Applied Scientist, you’ll own the full science lifecycle from research to production, solving multimodal challenges that affect hundreds of millions of shoppers and thousands of advertisers.

You’ll collaborate with engineering, product, and design to deploy models at scale, measure impact through rigorous experiments, and push the boundaries of AI in shopping

Qualifications

• PhD or Master’s degree with CS/ML or related field.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment.
• Develop and deploy models spanning computer vision, language, and search and retrieval that operate on multimodal inputs at scale.
• Design and analyze large-scale online experiments to measure impact on shopper and advertiser outcomes.
• Collaborate with engineering, product, and design to ship science into production.

Skills

Model development

Java

C++

Python

Algorithms

Data mining

Parallel computing

High-performance computing

Education

PhD or Master's in CS/ML or related field

Tools

Unix/Linux

Job description

Amazon Ads’ Sponsored Products and Brands team is pioneering AI-driven advertising, balancing creative insight with responsible AI. As an Applied Scientist, you’ll own the full science lifecycle from research to production, solving multimodal challenges that affect hundreds of millions of shoppers and thousands of advertisers.

You’ll collaborate with engineering, product, and design to deploy models at scale, measure impact through rigorous experiments, and push the boundaries of AI in shopping