GenAI Scientist: Foundation Models for Seller Experience

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Accommodations

Job summary

Amazon Science in Seattle, WA aims to advance frontier GenAI foundation models and adapt Large Language Models to our product domain. You will collaborate with top-tier scientists, engineers and TPMs to drive innovation and deploy scalable foundation models across risk detection and seller interaction scenarios.

Requirements include 3+ years building models for business applications, a PhD or Masters with 4+ years in related fields, and strong programming in Java, C++, Python.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master’s degree and 4+ years of science, technology, engineering or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Develop domain-specific foundation models.
• Apply the domain-specific foundation model to product risk detection, seller interactions capturing, future seller behaviors prediction, and seller responses simulation across varied conditions.
• Work with business and engineers to develop and deploy the solutions.

Skills

Model building

GenAI

Java

C++

Python

Applied theory

Education

PhD

Master’s degree

Tools

Java

C++

Python

Job description

Amazon Science in Seattle, WA aims to advance frontier GenAI foundation models and adapt Large Language Models to our product domain. You will collaborate with top-tier scientists, engineers and TPMs to drive innovation and deploy scalable foundation models across risk detection and seller interaction scenarios.

Requirements include 3+ years building models for business applications, a PhD or Masters with 4+ years in related fields, and strong programming in Java, C++, Python.