Applied Scientist, Frontier AI & Robotics; FAR

Overview

Job  |  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 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, science understanding, locomotion, 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

At Frontier AI & Robotics, we are building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. Our work spans perception, manipulation, and robust deployment at scale across Amazon's global operations.

We leverage Amazon's massive computational infrastructure and real-world datasets to train and deploy state-of-the-art foundation models, enabling multimodal perception using images, videos, and sensor data, and advanced manipulation strategies for diverse real-world scenarios.

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
- Experience programming in Java, C++, Python or related language
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience applying theoretical models in an applied environment
- Experience building machine learning models or developing algorithms for business application
- Experience developing and implementing deep learning models
- Track record of solving complex technical problems

- Experience using Unix/Linux
- Experience in professional software development
- First-author publications at major or top-tier ML/Robotics/AI conferences

- Experience with foundation models or large language models
- Background in Robotics, computer vision, or related fields

- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments

- Experience with large-scale robotic systems
- Extensive programming skills in Python and PyTorch/JAX

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