GenAI Applied Scientist for Billion-Product Catalog Systems

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Science is seeking an innovative applied scientist to advance GenAI and agentic shopping experiences within the ASCS research team. You will partner with technology and business leaders to build state-of-the-art algorithms, models, and services, tackling problems at scale across millions of customers.

The role emphasizes experimentation with massive data from the world’s largest product catalog, rapid deployment of ideas, and collaboration with cross-functional teams to push the frontier

Qualifications

• PhD or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• 2+ years of building machine learning models or developing algorithms for business application experience.
• Prior experience in the domains of LLMs, or large-scale deep learning systems.

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 that balance model performance with scalability requirements for production systems impacting millions of daily customer decisions.
• 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 broader science community - publishing findings, delivering tech talks, and staying at the frontier of GenAI, VLM, and agentic system research.

Skills

Java

C++

Python

Education

PhD

Master's degree

Job description

Amazon Science is seeking an innovative applied scientist to advance GenAI and agentic shopping experiences within the ASCS research team. You will partner with technology and business leaders to build state-of-the-art algorithms, models, and services, tackling problems at scale across millions of customers.

The role emphasizes experimentation with massive data from the world’s largest product catalog, rapid deployment of ideas, and collaboration with cross-functional teams to push the frontier