Robotics Research Intern, Embodied AI

FieldAI • Irvine, CA

2d • Onsite

About The Position

FieldAI 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. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. As a Robotics Research Intern in Embodied AI, you will investigate fundamental research problems in robot behavior and learning, active perception, human-robot interaction, or at the intersection of these areas, with a focus on complex, unstructured environments. You will work at the intersection of research and real-world deployment, developing new algorithms, validating them on physical robots, learning from field data, and contributing to publications at leading 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 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.

Nice To Haves

• Hands-on robotics experience, including testing and deploying autonomous systems on physical robots.
• Experience with ROS or ROS2 and real robotic systems.
• Publications at leading AI and robotics venues such as CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, or similar.
• Research experience in robot behavior and learning, such as imitation learning, reinforcement learning, learning from demonstrations, or learning from interaction and real-world experience.
• Research experience in active perception or active inspection, including task-driven perception, information-gathering behaviors, viewpoint selection, or reasoning under uncertainty.
• Experience in human-robot interaction, language-conditioned robotics, shared autonomy, or interactive robot learning.
• Experience fine-tuning or deploying large multimodal models, particularly vision-language, vision-language-action, open-vocabulary, or related foundation models.

Responsibilities

• 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 dynamic and unstructured environments.
• 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, and environmental context.
• 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 feedback.
• 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 robots.
• Implement and evaluate research algorithms on robotic platforms operating in realistic, unstructured environments, and use deployment data to iteratively improve the underlying methods.
• 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.

Benefits

• We value diverse perspectives and are committed to fostering an inclusive workplace.
• We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

What This Job Offers

• Career Level: Intern