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domain	amazon.science
summary	The job involves utilizing deep scientific expertise to create solutions for complex ad measurement problems, disambiguating issues and proposing evaluation frameworks. Key responsibilities include autonomous work, writing technical documents, implementing critical code, collaborating with various scientists on large projects, sharing research findings, and communicating effectively with diverse audiences. The role requires contributing new ideas, mentoring junior scientists, and participating in hiring. The Delivery Foundation Model team is a multidisciplinary group of scientists from Applied, Research, Data Science, and Economist disciplines. Daily tasks involve developing and implementing novel foundation model architectures, guiding fellow scientists on complex technical challenges, assisting engineers in building scalable infra for model training/evaluation/inference, leading technical initiatives from conception to deployment, driving technical discussions, conducting experiments, and prototyping new ideas. The team aims to balance ambitious research with real-world impact.
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	research, amazon, university, team, will, science, scientists, work, technical, data, solutions, models, teams, learning, foundation, scale, impact
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 108.156.22.117, A 108.156.22.38, A 108.156.22.70, A 108.156.22.56
created	2024-02-12
updated	2025-10-23
summarized	2025-10-23

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