Applied Scientist: Generative AI for Sponsored Ads

Amazon Inc.; New York (NY); Híbrido; USD 172.000 - 223.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

RSUs

401(k) matching

Descripción de la vacante

Amazon.com Services LLC's Sponsored Videos team seeks an Applied Scientist to advance AI for multimodal advertising. You will own the full science lifecycle—from research through online testing and production deployment—collaborating with engineering, product, and design partners to ship models at scale.

You will work across computer vision, language, and retrieval, building models and running rigorous experiments.

Formación

• 3+ years of building models for business applications
• PhD or MS plus 4+ years CS/CE/ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience with algorithms and data structures, data mining, parallel & distributed computing, high-performance computing

Responsabilidades

• 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

Conocimientos

Model building

Algorithms & data structures

Java/C++/Python

Unix/Linux

Software development

Educación

PhD

MS in CS/CE/ML

Herramientas

Java

C++

Python

Descripción del empleo

Amazon.com Services LLC's Sponsored Videos team seeks an Applied Scientist to advance AI for multimodal advertising. You will own the full science lifecycle—from research through online testing and production deployment—collaborating with engineering, product, and design partners to ship models at scale.

You will work across computer vision, language, and retrieval, building models and running rigorous experiments.