Senior Applied Scientist, Fauna Robotics
Pubblicato il 03-09-2026 - Vendita al dettaglio e all'ingrosso / Import-export in Italia
Job ID: 10494905 | Amazon.com Services LLC
Robots are about to step out of the movies and into our homes. If you're excited about this robotics revolution, come join Amazon's Fauna Robotics. As an Applied Scientist in this org, you'll push the state-of-the-art techniques in Robotics. You'll drive technical excellence in areas such as perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment. In this role, you will integrate hands-on technical expertise with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. While staying updated with the latest advancements in robotics research, you will leverage your experience and expertise to guide the team towards the most promising direction. Collaborating with a talented group of software engineers and scientists, you will bring your ideas to fruition.
Deploying robots in home environments requires you to anticipate challenges not encountered in structured settings like warehouses. Additionally, consumer‐grade sensors and actuators necessitate working around their limitations, requiring out‐of‐the‐box innovative ideas. As such, you are someone who truly enjoys thinking about problems using first principles at a holistic and systems level to address the aforementioned challenges.
Key job responsibilities
Lead technical initiatives in areas such as robotics foundation models, reinforcement learning and manipulation - - Design experiments to identify the limitations of current state-of-the-art models and developing new models or techniques that can surpass these models
Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
Mentor fellow scientists while maintaining strong individual technical contributions
Collaborate with engineering teams to optimize and scale models for real-world a