Applied Scientist - Foundation Model, Industrial Robotics Group

Overview

Industrial Robotics Group is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We are building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This role provides an opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of robotic manipulation, locomotion, and human-robot interaction.

The role involves applying deep learning and large language models to robotics.

We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, coordinating to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models to enable broad generalization, integrate multi-modal learning (visual, tactile, linguistic), accelerate skill acquisition through demonstration learning, enhance robotic perception and environmental understanding, and streamline development with reusable capabilities.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

As an Applied Scientist in the Foundations Model team, you will:

• Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization.
• Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between simulation and real environments.
• Build and run capability evaluations/benchmarks to clearly profile performance, generalization, and failure modes.
• Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes.
• Write clean, maintainable, well-commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs.
• Stay current with developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions.
• Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration with robotics hardware teams, and document best practices and methodologies.

• 2+ years of building models for business applications
• PhD, or Master’s + 4+ years building ML models/algorithms in applied settings
• 2+ years hands-on experience in deep learning with emphasis in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction
• Programming skills in Python plus one of C++/Java; ability to write production-quality research code
• Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines
• Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems)

• Experience using Unix/Linux
• Experience in professional software development

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 include working safely, communicating effectively, and following laws and policies. The company may consider arrest and conviction records as part of the hiring process in accordance with local laws. The Los Angeles County Fair Chance Ordinance will be considered where applicable.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, and more. Learn more about our benefits at .

USA, CA, Sunnyvale -  -  USD annually

Company:  Services LLC

Job : A3185183