Sr. Applied Scientist, FAR; Frontier AI & Robotics

Senior Applied Scientist, Frontier AI & Robotics

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 a Senior Applied Scientist, you'll spearhead the development of breakthrough foundation models and full-stack robotics systems 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, 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 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.

• Lead technical initiatives across the robotics stack, driving breakthrough approaches through hands‑on research and development in areas 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.
• Guide technical direction for 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.
• Mentor fellow scientists while maintaining strong individual technical contributions.
• Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack.
• Influence technical decisions and implementation strategies within your area of focus.

• Design and implement novel foundation model architectures and innovative systems and algorithms, leveraging our extensive infrastructure to prototype and evaluate at scale.
• Guide fellow scientists in solving complex technical challenges across the full robotics stack.
• Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems.
• Drive technical discussions within your team and with key stakeholders.
• Conduct experiments and prototype new ideas using our massive compute cluster and extensive robotics infrastructure.
• Mentor team members while maintaining significant hands‑on contribution to technical solutions.

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 innovative 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.

We leverage Amazon's massive computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models, building systems that don't just work in the lab but scale to meet the demands of Amazon's global operations.

• PhD or Master’s degree and 6+ years of applied research experience.
• 3+ years of industry or academic research experience.
• Experience programming in Java, C++, Python or related language.
• Experience applying theoretical models in an applied environment.
• Strong publication record at major or top‑tier Robotics/ML/AI conferences.
• Demonstrated track record of leading technical projects.
• Experience mentoring junior scientists/engineers.
• Demonstrated expertise in deep learning and robotics system development.

• History…