Applied Scientist, GenAI & Multimodal Catalogs

Amazon Inc.; Seattle (WA); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC is seeking an innovative applied scientist to advance GenAI and large-scale catalog systems. You will collaborate with technology and business leaders to build state-of-the-art algorithms and services, deploying them at massive scale to support hundreds of millions of customers worldwide.

You will own end-to-end ML pipelines, translate complex business challenges into scientific frameworks, and publish findings to keep our catalog at the forefront of AI research.

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• 2+ years of building ML models or developing algorithms for business applications.

Responsibilities

• Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval.
• Design and implement leading models leveraging frontier models and agentic architectures to enrich catalog information at billion-product scale.
• Pioneer explainable AI methodologies balancing model performance with production scalability for decisions affecting millions of daily customers.
• Own end-to-end ML pipelines from research ideation to production deployment, processing petabytes of multimodal data with rigorous evaluation frameworks.
• Represent the team in the wider science community by publishing findings and giving technical talks.

Skills

Programming in Java/C++/Python

ML model development

GenAI/LLMs experience

Education

PhD in CS/CE/ML

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

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is seeking an innovative applied scientist to advance GenAI and large-scale catalog systems. You will collaborate with technology and business leaders to build state-of-the-art algorithms and services, deploying them at massive scale to support hundreds of millions of customers worldwide.

You will own end-to-end ML pipelines, translate complex business challenges into scientific frameworks, and publish findings to keep our catalog at the forefront of AI research.