Sr. Applied Scientist, Frontier AI & Robotics; FAR

Position: Sr. Applied Scientist, Frontier AI & Robotics (FAR)
Description

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team. 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 locomotion, manipulation, sim2real transfer, multi-modal and multi-task robot learning, designing novel frameworks that bridge the gap between 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.

Key job responsibilities

- Lead technical initiatives across the robotics stack, driving breakthrough approaches through hands-on research and development in areas including robot co-design, dexterous manipulation mechanisms, innovative actuation strategies, state estimation, low-level control, system identification, reinforcement learning, and sim-to-real transfer, as well as foundation models for perception and manipulation

- Guide technical direction for full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development

- Develop and optimize control algorithms and sensing pipelines that enable 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

A day in the life

- Design and implement innovative systems and algorithms, working hands-on with 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

About the team

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.

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.

Basic Qualifications

- PhD, or Master's degree and 6+ years of applied research experience

- 3+ years of industry or academic research experience in ME, EE, CS, CE, or related field

- Experience programming in Java, C++, Python or related language

- Experience with hardware design, low-level…