Applied Scientist - GenAI & Multimodal Catalog at Scale

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

Benefits offered by this job

Sign-on payments

RSUs

Health insurance

401(k)

Paid time off

Parental leave

Job summary

Amazon Selection and Catalog Systems (ASCS) seeks an innovative applied scientist to enhance the world’s best product catalog. You will partner with tech and business leaders to build state-of-the-art GenAI models and services for a billion-product-scale catalog.

You’ll pioneer agentic shopping solutions, deploy algorithms at scale, and work across images and text to enrich catalog information for millions of customers daily.

Qualifications

• PhD or Master’s degree with 4+ years of CS, CE, ML or related field experience.
• Experience building ML models or algorithms for business applications.
• Background in LLMs or large-scale deep learning systems; publications a plus.

Responsibilities

• Formulate research problems at GenAI and multimodal learning intersections.
• Design and implement models using frontier models and agentic architectures.
• Develop explainable AI methods balancing performance and production needs.
• Own end-to-end ML pipelines from concept to production on petabyte-scale data.
• Represent the team in the science community with talks and publications.

Skills

GenAI research

Multimodal learning

LLMs

ML modeling

Education

PhD or MS + 4 yrs CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Selection and Catalog Systems (ASCS) seeks an innovative applied scientist to enhance the world’s best product catalog. You will partner with tech and business leaders to build state-of-the-art GenAI models and services for a billion-product-scale catalog.

You’ll pioneer agentic shopping solutions, deploy algorithms at scale, and work across images and text to enrich catalog information for millions of customers daily.