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 Member of Technical Staff, 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, 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 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.

Key job responsibilities

- 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

A day in the life

- 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

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $300,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.