Postdoctoral Scientist, Amazon

• Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Currently has, or is in the process of obtaining, a PhD in a relevant field
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Desirable

• Amazon is looking for talented Postdoctoral Scientists to join our Frontier AI & Robotics team for a one-year, full-time research position
• Join the next revolution in robotics, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence
• As a Postdoctoral Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways
• You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, locomotion, manipulation, sim2real transfer, multi-modal foundation models and multi-task robot learning, designing novel frameworks that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale
• In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments
• You'll have access to Amazon's vast computational resources, enabling you 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
• Drive independent research initiatives across the robotics stack, including robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
• Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
• Lead full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development, ensuring robust performance in production environments
• Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack, optimizing and scaling models for real-world applications
• Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
• Design and implement novel foundation model architectures and innovative systems and algorithms, leveraging our extensive infrastructure to prototype and evaluate at scale
• Collaborate with our world-class research team to solve complex technical challenges
• Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
• Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
• Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
• Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications