About The Position

AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. As an Research Scientist Intern, Embodied AI , you will investigate and tackle real-world robotics challenges in unstructured environments , with a focus on autonomous inspection , mobile manipulation , and human–robot interaction . You will work at the intersection of research and deployment —developing algorithms, validating them on real robots, and contributing to publications at top robotics and AI venues .

Requirements

  • Currently pursuing or recently completed a PhD in Robotics, Computer Science, Aerospace, Electrical Engineering, Mechanical Engineering, or a related field
  • Strong foundation in robotics autonomy and machine learning
  • Familiarity with state-of-the-art embodied AI research literature
  • Strong programming skills in Python and/or C++
  • Experience with modern machine learning frameworks
  • Experience developing robotic systems using ROS 2
  • Strong analytical, problem-solving, and communication skills

Nice To Haves

  • Hands-on robotics experience , including testing and deploying autonomous systems in the field
  • Experience fine-tuning and deploying large multimodal models , particularly: Vision, language, action, or open-vocabulary models.
  • Publications in top-tier AI and robotics venues such as CoRL, ICRA, IROS, RSS, NeurIPS, CVPR , or similar

Responsibilities

  • Model & Algorithm Development: Design and develop context-aware reasoning and planning algorithms.
  • Leverage and adapt foundation models (e.g., VLMs, VLAs) and world models for embodied intelligence.
  • Robotic Software Development & Testing: Implement, test, and integrate algorithms on real robotic platforms.
  • Collaborate closely with engineers to validate performance in field conditions.
  • Research & Publication: Conduct cutting-edge research in embodied AI and robotics.
  • Author and submit papers to leading robotics and AI conferences and journals.
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