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

Join the next revolution in robotics at Amazons Frontier AI & Robotics team where youll work alongside world-renowned AI pioneers to push the boundaries of whats possible in robotic intelligence. As an Applied Scientist youll be at the forefront of developing breakthrough foundation models that enable robots to perceive understand and interact with the world in unprecedented ways. Youll drive independent research initiatives in areas such as perception manipulation scene understanding sim2real transfer multi-modal foundation models and multi-task learning designing novel algorithms 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. Youll have access to Amazons 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
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in 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
- Lead technical projects from conceptualization through deployment ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the teams technical strategy and help shape our approach to next-generation robotics challenges

A day in the life
- Design and implement novel foundation model architectures leveraging our extensive compute infrastructure to train 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

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 ground breaking 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 with any programming language such as Python Java C
- Experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience applying theoretical models in an applied environment
- Experience identifying and resolving complex issues
- Experience developing and implementing deep learning models

- Experience with Linux/Unix
- Knowledge of distributed computing environments
- First-author publications at major or top-tier ML / robotics conferences (NeurIPS ICML ICLR CVPR ICCV RSS CoRL)
- Experience with foundation models or large language models
- Background in computer vision robotics or related fields
- Experience with sim2real transfer or multi-task learning
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
- Extensive programming skills in Python and PyTorch/JAX

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