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

Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish.
Lead independent research initiatives in robotics foundation models, focusing on perception, manipulation, sim2real transfer, and multi-modal learning.
Prototype end-to-end vision-language-action systems and open-vocabulary scene understanding, with emphasis on scalable, efficient inference.
Drive technical projects from concept to deployment, ensuring robust performance in production environments.
Collaborate with platform teams to optimize models for real-world applications and contribute to the team’s technical strategy.
Transform theoretical insights into practical solutions for real-world robotics challenges using large compute resources.