Applied Scientist, Amazon

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience building machine learning models or developing algorithms for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience applying theoretical models in an applied environment
• Experience developing and implementing deep learning models
• Track record of solving complex technical problems

Desirable

• Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence
• As an Applied 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, scene 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 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
• Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
• Drive independent research initiatives in 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
• Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
• Collaborate with platform teams to optimize and scale 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, leveraging our extensive compute infrastructure to train 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
• At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up
• Our team is building the future of intelligent robotics through ground breaking foundation models and end-to-end learned systems
• We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios
• What sets us apart is our unique combination of ambitious research vision and practical impact
• We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models
• Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios
• We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations
• 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