Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real-world environments. We are advancing embodied AI by integrating multimodal perception , robot learning architectures, and physical execution systems to solve manipulation, autonomy, and simulation challenges at an industrial scale. As a Principal Applied Scientist , y ou will define technical direction, create breakthrough robot learning methodologies, and drive the execution of large-scale initiatives that deliver end-to-end manipulation policies. You will architect new model families, lead cross-functional research efforts, and guide teams in transitioning scientific advances into reliable robotic capabilities deployed in real systems.