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Associate Amazon Product Research Jobs (NOW HIRING)

Come join Amazon Key as a Sales Operations professional supporting our innovative delivery ... Drive operational management activities, including technical product research, hands-on system ...

Come join Amazon Key as a Sales Operations professional supporting our innovative delivery ... Drive operational management activities, including technical product research, hands-on system ...

Manage and maintain Amazon product listings, ensuring accuracy in titles, descriptions, images, and ... Conduct keyword research and SEO optimizations to enhance organic discoverability. * Regularly ...

Manage and maintain Amazon product listings, ensuring accuracy in titles, descriptions, images, and ... Conduct keyword research and SEO optimizations to enhance organic discoverability. * Regularly ...

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How much do associate amazon product research jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for associate amazon product research in the United States is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $37.98 per hour, depending on experience, location, and employer.

What is the difference between Associate Amazon Product Research vs Amazon Product Listing Specialist?

AspectAssociate Amazon Product ResearchAmazon Product Listing Specialist
Required SkillsProduct research, data analysis, market trendsListing optimization, keyword research, product descriptions
Work EnvironmentRemote, e-commerce teams, research-focusedRemote or office, listing management teams
Common EmployerAmazon sellers, e-commerce companiesAmazon sellers, marketplace managers

While both roles support Amazon selling, the Associate Amazon Product Research focuses on identifying profitable products through market analysis, whereas the Amazon Product Listing Specialist concentrates on creating and optimizing product listings to improve visibility and sales. Understanding these differences helps candidates target their skills and career goals effectively.

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Infographic showing various Associate Amazon Product Research job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $63,431 per year, or $30.5 per hour.

Applied Science II, Product Knowledge GenAI

Amazon

Seattle, WA

Full-time

Posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Catalog Services Product Knowledge team is seeking an Applied Scientist for the Catalog Services organization. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes, values, constraints) to be modeled to cover all the Amazon products worldwide.

You will work on initiatives (models, artifacts) aim to solve the problem of producing Catalog schema with less reliance on humans and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages.
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale.

The team's output affects the velocity at which we build product schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata, classification of entities, validation of concepts against customer traffic, creation of agents solving complex tasks mimicking human decisions at high precision, etc; all these developments drive true understanding of products at scale.
The ideal candidate has deep expertise in one or several of the following fields: Generative AI, Agents, LLMs, Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing.

S/he has a strong publication record at relevant academic venues and proven experience in launching products/features in the industry.
Key job responsibilities
- Formulate open research problems at the intersection of GenAI, multimodal reasoning, and large-scale information retrieval-defining the scientific questions that transform ambiguous, real-world catalog challenges into models applied to production with high-impact
- Push the boundaries of models and agentic architectures by designing novel approaches to catalog understanding, schema inference, where the problem complexity (billions of products) demands methods that don't yet exist
- Make frontier models reliable-advancing uncertainty calibration, confidence estimation, and interpretability methods so that frontier-scale GenAI systems can be trusted for autonomous catalog decisions
- Own the full research lifecycle from problem formulation through production deployment, designing rigorous experiments, iterating on ideas rapidly, and seeing your research directly improve data and catalog operations
- Shape the team's research vision by defining technical roadmaps that balance foundational scientific inquiry with measurable product impact
- Represent the team in the broader science community, publishing findings, delivering tech talks, and staying at the forefront of GenAI, and agentic system research
About the team
The team's mission is to infer knowledge, understand, and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised, guide Selling Partners, inform models how to infer attributes. All this information drives the navigational Taxonomy, Search and Detail Page experiences, impacting million of customers

The scientist collaborates closely with teams across the organization and outside the Catalog (Search, Personalization, etc) that rely on this team's developments.


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US