Robotics Research, Embodied AI Intern (Spring & Summer 2027)

Job description

Job responsibilities

• Robot Behavior & Learning: Research methods for learning, adapting, and generating robot behaviors from demonstrations, interaction, experience, and real-world data, enabling robots to perform long-horizon tasks in…
• Active Perception & Embodied Reasoning: Develop methods that enable robots to actively reason about what to inspect, where to observe, and what actions to take next based on task objectives, observations, uncertainty,…
• Human-Robot Interaction: Develop approaches for intuitive human-robot collaboration, including natural task specification, interactive robot behaviors, human-in-the-loop reasoning, and adaptation to user intent and…
• Embodied AI Models: Investigate and adapt foundation models, including vision-language models, vision-language-action models, and world models, for reasoning, planning, interaction, and decision-making on physical…
• Real-Robot Experimentation: Implement and evaluate research algorithms on robotic platforms operating in realistic, unstructured environments, and use deployment data to iteratively improve the underlying methods.
• Research & Publication: Conduct cutting-edge research in embodied AI and robotics, design rigorous experiments and evaluations, and contribute to publications at leading robotics and AI conferences and journals.

Job requirements

• Currently pursuing or recently completed a PhD in Robotics, Computer Science, Aerospace, Electrical Engineering, Mechanical Engineering, or a related field.
• Strong research foundation in one or more areas such as robot learning, planning and decision-making, embodied AI, perception, active perception, or human-robot interaction.
• Familiarity with state-of-the-art research in embodied AI and robotics.
• Strong programming skills in Python and/or C++.
• Experience with modern machine learning frameworks.
• Experience developing and evaluating algorithms for robotic or embodied systems.
• Strong analytical and problem-solving skills, with the ability to formulate research questions and design rigorous experiments.
• Strong written and verbal communication skills and the ability to collaborate across research and engineering teams.