As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments. * Building a scalable infrastructure for experimentation, training, and deployment, including the development of training pipelines, simulation tools, and evaluation methods will be part of your task. o demonstrated academic excellence, with a strong publication record in leading AI and robotics conferences and journals (NeurIPS, ICLR, ICML, CVPR, CoRL, RSS, ICRA, ACL, EMNLP, etc.) + Familiarity with benchmarks such as ALFRED, Ego4D, VLN, or datasets involving perception and action + driving, industrial automation, or building systems interest in emerging domains such as smart heating and HVAC control, where semantic AI can optimize control strategies
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