Job ID: 3182042 | Amazon.Com Services LLCAt 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.Key job responsibilitiesFormulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval—translating ambiguous business challenges into tractable scientific frameworksDesign and implement leading models leveraging VLMs, foundation models, and agentic architectures to solve product identity, relationship inference, and catalog understanding at billion-product scalePioneer explainable AI methodologies that balance model performance with scalability requirements for production systems impacting millions of daily customer decisionsOwn end-to-end ML pipelines from research ideation to production deployment—processing petabytes of multimodal data with rigorous evaluation frameworksDefine research roadmaps aligned with business priorities, balancing foundational research with incremental product improvementsMentor peer scientists and engineers on advanced ML techniques,



experimental design, and scientific rigor—building organizational capability in GenAI and multimodal AIRepresent the team in the broader science community—publishing findings, delivering tech talks, and staying at the forefront of GenAI, VLM, and agentic system researchBasic QualificationsPhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related language2+ years building machine learning models or developing algorithms for business application experiencePreferred QualificationsPrior experience in the domains of LLMs, foundation models, or large-scale deep learning systemsPublications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, EMNLP, ACL, NAACL, COLING, KDD, SIGMOD, WWW, AAAI, or similarExperience with Visual Language Models (VLMs), multimodal transformers, or vision-language pretrainingExperience with explainable AI, model interpretability, or uncertainty quantificationStrong experimental design skills and statistical analysis expertiseHands‑on experience with Generative AI, including prompt engineering, fine‑tuning, RLHF, or agentic architecturesTrack record of deploying ML models at scale in production environments processing billions of data pointsExcellent written, verbal communication & data presentation skillsAmazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.BenefitsAmazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription), life insurance, EAP, mental health support, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.Salary range: 142,800.00 – 193,200.00 USD annuallyLocation: USA, WA, SeattlePosted: April 10, 2026#J-18808-Ljbffr

📌 Applied Scientist - $142,800 - $193,200 A Year (Milano)
🏢 Amazon.Com Services
📍 Milano