Applied Scientist - GenAI & Multimodal Catalog Systems

Amazon Web Services (AWS); New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on payments

Paid time off

Parental leave

Job summary

Amazon Data Services, Inc. in New York, NY is seeking an innovative Applied Scientist to advance GenAI and multimodal AI for product identity and relationship inference at scale.

You will build state-of-the-art algorithms and deploy them across a billion-product catalog for a world-class shopping experience. You will collaborate with business leaders to translate complex challenges into rigorous scientific methods, publish findings, and mentor teammates while contributing to the growth of GenAI

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.

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

PhD or Master's degree

4+ years CS/CE/ML experience

Java

C++

Python

Education

PhD

Master's degree

Job description

Amazon Data Services, Inc. in New York, NY is seeking an innovative Applied Scientist to advance GenAI and multimodal AI for product identity and relationship inference at scale.

You will build state-of-the-art algorithms and deploy them across a billion-product catalog for a world-class shopping experience. You will collaborate with business leaders to translate complex challenges into rigorous scientific methods, publish findings, and mentor teammates while contributing to the growth of GenAI