Amazon.com Services LLC
Technology
AppliedScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist at Amazon.com Services LLC. Skills: Generative AI, Multimodal reasoning, Machine learning, Large-scale systems. Formulate open research problems. Design novel approaches to product identity”
What You'll Achieve.
Improve shopping experience for hundreds of millions of customers
Industry & Context.
Solve fundamental AI challenge; Reasoning across images and textual data
What They're Looking For.
Must Have
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
Nice to Have
PhD preferred, Experience with LLMs, VLMs, foundation models, or large-scale deep learning systems, Experience with LLM/VLM serving optimization, Experience with explainable AI, model interpretability, or uncertainty quantification, Experimental design skills and statistical analysis expertise, Track record of deploying ML models at scale, Publications in top-tier venues
What You'll Do.
Formulate open research problems
Design novel approaches to product identity
Advance the science of efficient model deployment
and LLM/VLM serving optimization strategies
Make frontier models reliable
Advance uncertainty calibration
confidence estimation
and interpretability methods
Design rigorous experiments
Iterate on ideas rapidly
Shape the team's research vision
Define technical roadmaps
Mentor scientists and engineers
Represent the team in the broader science community
How You'll Work.
Team & Collaboration
Collaborative environment
Communication Scope
Data presentation; Written communication; Verbal communication
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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