domain | amazon.science |
summary | Key job responsibilities include collaborating with AIML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems. Interacting directly with customers to understand their challenges and guide them on adoption patterns and paths to production is also a part of this role. Creating and delivering best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted for technical, business, and executive stakeholders is expected as well. Providing customer and market feedback to Product and Engineering teams to help define product direction is also important. The team aims to architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products. They also aim to pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination, build production-scale generative AI systems for fee integrity and seller communications, advance the field of ML through novel research in high-stakes, large-scale transaction processing, develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes, collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning, economics, and large business systems. |
title | Amazon Science homepage |
description | Learn about Amazon's scientific research, science community, and career opportunities in artificial intelligence (AI), machine learning (ML), computer vision, robotics, quantum, economics and more. |
keywords | will, amazon, research, models, team, learning, business, science, work, systems, machine, scientist, scientists, large, experience, data, information |
upstreams |
amazon.ca, amazon.co.jp, amazon.com.tr, amazon.es |
downstreams |
x.com, instagram.com, youtube.com, facebook.com, linkedin.com, github.com, amazon.jobs |
nslookup | A 18.154.48.57, A 18.154.48.36, A 18.154.48.11, A 18.154.48.59 |
created | 2024-02-12 |
updated | 2025-08-30 |
summarized | 2025-08-30 |
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