Principal Applied Scientist, FAR (Frontier AI & Robotics) - Amazon : Job Details

Job ID: 2938625 | Amazon.com Services LLC

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

- PhD, or Master's degree and 6+ years of applied research experience- 5+ years of industry or academic research experience- Experience programming in Java, C++, Python or related language- 5+ years of building machine learning models or developing algorithms for business application experience- Experience in patents or publication at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL).- Extensive track record of leading technical projects.- Experience mentoring junior scientists / engineers.- Demonstrated expertise in deep learning and model development.

- Experience as first-author publications at major conferences- Experience leading research initiatives in robotics or foundation models- Track record of successful production ML deployments- Experience with large-scale distributed systems- Experience in technical leadership and team mentorship- Experience bridging research with practical engineering implementation

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