Applied Scientist, FAR (Frontier AI & Robotics)

Lead the research and deployment of robotics foundation models, driving perception, manipulation, and scene understanding at scale.
Design novel deep learning architectures and multi-modal systems that enable robust real-world robot perception and action.
Advance sim2real/real2sim transfer, open-vocabulary panoptic understanding, and end-to-end vision-language-action models.
Own technical projects from concept to production, collaborating with robotics engineers and platform teams to ensure reliability in dynamic environments.
Scale models and inference pipelines for large-scale deployment on extensive compute resources.
Contribute to the team's technical strategy and translate research breakthroughs into deployable robotics solutions.