Applied Scientist, Catalog System Services Science

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

Job summary

Amazon Science is seeking a research-focused professional to advance GenAI and multimodal learning for the Amazon Selection and Catalog Systems. You will tackle research problems and translate business challenges into rigorous scientific frameworks.

The role involves designing models for billion-product-scale catalogs, developing end-to-end ML pipelines, and contributing to publishable work. A PhD or Master’s with substantial experience is expected, with production-ready AI capabilities.

Qualifications

• PhD or Master's with 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python.
• 2+ years of building machine learning models or developing algorithms for business applications.
• Experience with 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 for rich catalog information at billion-product scale.
• Pioneer explainable AI methodologies balancing performance with production scalability for systems affecting millions of daily 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 science community by publishing findings and delivering tech talks.

Skills

Java

C++

Python

LLMs

Large-scale DL

Machine learning

Education

CS/CE/ML related degree

Job description

Description

At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product relevant information at unprecedented scale with Frontier Models and Agents. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity ranging from electronics to groceries to digital content.

Key job responsibilities

• Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval. In essence, translating ambiguous business challenges into tractable scientific frameworks


• 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 forefront of GenAI, VLM, and agentic system research

Basic 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

Preferred Qualifications

• Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, EMNLP, ACL, NAACL, COLING, KDD, SIGMOD, WWW, AAAI, or similar


• Experience with multimodal LLMs, including hands-on post training techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually