Senior Applied Scientist

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 you can experiment
• with massive data from the world's largest product catalog, tackle problems at
• the frontier of AI research, rapidly implement and deploy your algorithmic ideas
• at scale, across millions of customers.
• Key job responsibilities
• Key job responsibilities include:
• * Formulate novel research problems at the intersection of GenAI, multimodal
• learning, and large-scale information retrieval—translating ambiguous business
• challenges into tractable scientific frameworks
• * Design and implement leading models leveraging VLMs, foundation models, and
• agentic architectures to solve product identity, relationship inference, and
• catalog understanding 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
• * Define research roadmaps aligned with business priorities, balancing
• foundational research with incremental product improvements
• * Mentor peer scientists and engineers on advanced ML techniques, experimental
• design, and scientific rigor—building organizational capability in GenAI and
• multimodal AI
• * 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

• - 4+ years of applied research experience
• - 3+ years of building machine learning models for business application
• experience
• - PhD, or Master's degree and 6+ years of applied research experience
• - Experience programming in Java, C++, Python or related language
• - Experience with neural deep learning methods and machine learning Preferred

Qualifications

• - Experience with training and deploying machine learning
• systems to solve large-scale optimizations
• - - Prior experience in the domains of LLMs, foundation models, or large-scale
• deep learning systems
• - - Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV,
• EMNLP, ACL, NAACL, COLING, KDD, SIGMOD, WWW, AAAI, or similar
• - - Experience with Visual Language Models (VLMs), multimodal transformers, or
• vision-language pretraining
• - - Experience with explainable AI, model interpretability, or uncertainty
• quantification
• - - Strong experimental design skills and statistical analysis expertise
• - - Hands-on experience with Generative AI, including prompt engineering,
• fine-tuning, RLHF, or agentic architectures
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually