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domain	amazon.science
summary	The job description outlines responsibilities for developing deep learning architectures to enhance robots' understanding and capabilities. This includes driving independent research in areas like perception and manipulation using open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real techniques, end-to-end vision-language-action models, efficient model inference, and video tokenization. Key duties involve leading technical projects from conception to deployment, ensuring robust performance in production environments, collaborating with platform teams for optimization and scalability, and contributing to the team's technical strategy. A typical day includes designing new architectures leveraging extensive compute infrastructure, collaborating on complex challenges, leading initiatives to production integration, participating in technical discussions, rapidly prototyping ideas using the company's resources, transforming theoretical insights into practical solutions for real-world robotics applications. Amazon provides comprehensive benefits including support for domestic partners and their children.
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, robotics, university, team, models, world, scale, work, technical, systems, learning, foundation, amazons, real, will, scientists
upstreams	amazon.ca, amazon.co.jp, amazon.com.tr, amazon.es
downstreams	x.com, instagram.com, youtube.com, linkedin.com, github.com, amazon.jobs
nslookup	A 108.156.22.70, A 108.156.22.38, A 108.156.22.117, A 108.156.22.56
created	2024-02-12
updated	2025-12-01
summarized	2025-12-02

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