Member of Technical Staff, Frontier AI & Robotics (FAR)

Amazons Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff to drive foundational research and build intelligent robotic systems from the ground this role you willoperateat the intersection ofinnovativeAI research and real-world robotics - conducting original research publishing and deploying your innovations into production systems at Amazon scale. Werelooking for researchers who think from first principles push the boundaries ofwhatspossible and take full ownership of turning breakthrough ideas into working systems.

You will join the next revolution in robotics where youll work alongside world-renowned AI pioneers to push the boundaries of whats possible in robotic intelligence. As a Member of Technical Staff youll be at the forefront of developing breakthrough foundation models and full-stack robotics systems that enable robots to perceive understand and interact with the world in unprecedented ways. Youll drive technical excellence and independent research initiatives in areas such as locomotion manipulation perception sim2real transfer multi-modal 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 youll balance innovative technical exploration with practical implementation collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. Youllhave the freedom to pursue ambitious research directions whileleveragingAmazons vast computational resources to tackle ambiguous 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 robot co-design dexterous manipulation mechanisms innovative actuation strategies state estimation low-level control system identification reinforcement learning sim-to-real transfer as well as 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

- 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

- 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 teams technical decisions and influence implementation strategies to help shape our approach to next-generation robotics challenges

- Mentor fellow researchers while maintaining solid individual technical contributions

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 across the full robotics stack

- Lead focused technical initiatives from conception through deployment ensuring successful integration with production systems

- Drive technical discussions and brainstorming sessions with team leaders fellow researchers and key stakeholders

- Conduct experiments and prototype new ideas using our massive compute cluster and extensive robotics infrastructure

- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications

About the team
At Frontier AI & Robotics were not just advancing robotics were 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 Amazons 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. Were building systems that dont just work in the lab but scale to meet the demands of Amazons global operations.

Join us if youre excited about pushing the boundaries of whats possible in robotics working with world-class researchers and seeing your innovations deployed at unprecedented scale.

- PhD or Masters 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 building machine learning models or developing algorithms for business application and applying theoretical models in an applied environment
- Experience developing and implementing deep learning models

- Prior industry or academic research experience and demonstrated expertise in deep learning and large-scale robotics system development
- Extensive programming skills in Python and PyTorch/JAX
- History of impactful first-author publications at major or top-tier Robotics/ML/AI conferences
- Experience bridging research with practical engineering implementation in real robotics systems. Experience with sim2real transfer or multi-task learning
- Hands-on experience training or fine-tuning large-scale foundation models or large language models (LLMs VLMs VLAs).Track record of deploying ML models in production environments

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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