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Conducts research on diffusion, vision-language, and vision-language-action models for autonomous construction robots. The role requires deep-learning R&D experience or advanced graduate training, strong multimodal AI expertise, scalable data workflows, and model optimization for edge deployment.
Leads research and productionization of diffusion, vision-language, and vision-language-action models for real-time robotic perception on construction sites. The role requires 8+ years of deep-learning R&D or an advanced degree with strong publications, plus expertise in scalable training and edge deployment.
Develops and deploys vision-language-action models and world models for autonomous robot finishing tasks in construction. Owns full lifecycle from data collection via teleoperation to edge deployment on Jetson hardware, requiring strong ML on robotics experience.