Staff Scientist, Frontier AI & Robotics – Foundation Models

Amazon; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Job summary

Amazon is seeking a Member of Technical Staff for Frontier AI & Robotics in the United States. You will lead research on robotics foundation models and multi-modal systems, bridging theory and production.

The role emphasizes end-to-end system integration, collaboration with platform and hardware teams, and deployment of robust models at Amazon scale. You’ll tackle perception, manipulation, and multi-task learning challenges, leveraging vast compute resources to push the state of the art while

Qualifications

• PhD or Master’s with 4+ years in CS/CE/ML or related field.
• Experience in Java, C++, Python.
• Experience building ML models or developing algorithms for business applications.
• Experience in patents or publications at top-tier conferences/journals.
• Experience developing and implementing deep learning models.
• Track record of solving complex technical problems.

Responsibilities

• Drive independent research initiatives across the robotics stack, including robotics foundation models, focusing on perception and manipulation.
• Design and implement novel deep learning architectures for robotics tasks.
• Lead full-stack robotics projects from concept to deployment with system-level integration.
• Collaborate with platform and hardware teams to scale models for real-world use.
• Contribute to the team’s technical strategy for next-generation robotics challenges.

Skills

Java

C++

Python

Deep learning

Problem solving

Production deployment

Education

Master's or PhD in CS/CE/ML

Tools

PyTorch/JAX

Unix/Linux

Git

Job description

Amazon is seeking a Member of Technical Staff for Frontier AI & Robotics in the United States. You will lead research on robotics foundation models and multi-modal systems, bridging theory and production.

The role emphasizes end-to-end system integration, collaboration with platform and hardware teams, and deployment of robust models at Amazon scale. You’ll tackle perception, manipulation, and multi-task learning challenges, leveraging vast compute resources to push the state of the art while