Amazon.com Services LLC
Technology
SeniorAppliedScientist
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optimal for Senior candidates.
“Senior Applied Scientist at Amazon.com Services LLC. Skills: Generative AI, Multimodal learning, Large-scale information retrieval, Agentic architectures. Formulate novel research problems. Design and implement systems”
What You'll Achieve.
Ensure uniqueness and consistency of product identity; Infer relationships between products; Drive selection gateway for search and browse; Power next-generation agentic shopping experiences; Support massive-volume LLM workflows with low latency and high reliability
Industry & Context.
Solving fundamental AI challenge; Reasoning across images and textual data; Explaining decisions at scale; Maintaining accuracy and trust
What They're Looking For.
Must Have
4+ years of applied research experience, 3+ years of building machine learning models, 6+ years of applied research experience, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
PhD preferred, Master's degree and 6+ years of applied research experience, Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems such as Hadoop, Spark
What You'll Do.
Formulate novel research problems
Design and implement systems
Pioneer explainable AI methodologies
Optimize and scale large-language-model inference pipelines
Define research roadmaps
Mentor junior scientists and engineers
Represent the team in the broader science community
How You'll Work.
Team & Collaboration
Collaborative environment
Communication Scope
Publishing findings; Delivering tech talks
Full Job 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 identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity—from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data—while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, models, and services to infer product-to-product relationships that matter to our customers. You will pioneer advanced GenAI solutions that power next-generation agentic shopping experiences, working in a collaborative environment where
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