GenAI & Multimodal Scientist for Large-Scale Catalog

Amazon; Sunnyvale (CA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon’s Item and Relationship Platform group seeks an innovative applied scientist to build state-of-the-art models that infer product-to-product relationships at massive scale. You will lead GenAI, VLM, and multimodal research, collaborating with business leaders to drive catalog understanding and enhanced shopping experiences.

The role emphasizes end-to-end ML pipelines, explainable AI, and mentoring peers, with publication and industry contribution as part of the responsibilities.

Qualifications

• PhD or Master’s with 6+ years of applied research in ML.
• Experience building ML models for business applications.
• Proficiency in Java, C++, or Python.

Responsibilities

• Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval—translating ambiguous business challenges into tractable scientific frameworks
• Design and implement leading models leveraging VLMs, foundation models, and agentic architectures to solve product identity, relationship inference, and catalog understanding 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
• Define research roadmaps aligned with business priorities, balancing foundational research with incremental product improvements
• Mentor peer scientists and engineers on advanced ML techniques, experimental design, and scientific rigor—building organizational capability in GenAI and multimodal AI
• Represent the team in the broader science community—publishing findings, delivering tech talks, and staying at the forefront of GenAI, VLM, and agentic system research

Skills

Java

C++

Python

Deep learning

ML

Education

PhD

Master's + 6+ years of applied research

Tools

VLMs

LLMs

KDD

Job description

Amazon’s Item and Relationship Platform group seeks an innovative applied scientist to build state-of-the-art models that infer product-to-product relationships at massive scale. You will lead GenAI, VLM, and multimodal research, collaborating with business leaders to drive catalog understanding and enhanced shopping experiences.

The role emphasizes end-to-end ML pipelines, explainable AI, and mentoring peers, with publication and industry contribution as part of the responsibilities.