Applied Scientist, GenAI & Multimodal Catalog Systems

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Selection and Catalog Systems (ASCS) in Seattle seeks an Applied Scientist to advance GenAI and multimodal reasoning for large-scale product relationships. You will partner across teams to build state-of-the-art models, deploy scalable solutions, and drive innovations that improve the online shopping experience for millions of customers.

You will own end-to-end ML pipelines, collaborate with researchers and engineers, publish findings, and mentor peers in a fast-paced environment focused

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Formulate research problems at GenAI, multimodal learning, and retrieval.
• Design models with VLMs, foundation models, and agentic architectures for product catalog understanding at scale.
• Pioneer explainable AI methods balancing performance with production constraints.
• Own end-to-end ML pipelines from research to production deployment across petabytes of data.
• Define research roadmaps aligned with business priorities and product improvements.
• Mentor scientists and engineers on ML techniques, experiments, and rigor.

Skills

Java

C++

Python

Publications

Education

PhD

Master's degree + 4+ years CS/CE/ML

Job description

Amazon Selection and Catalog Systems (ASCS) in Seattle seeks an Applied Scientist to advance GenAI and multimodal reasoning for large-scale product relationships. You will partner across teams to build state-of-the-art models, deploy scalable solutions, and drive innovations that improve the online shopping experience for millions of customers.

You will own end-to-end ML pipelines, collaborate with researchers and engineers, publish findings, and mentor peers in a fast-paced environment focused