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

Field AI

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,…

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Field AI
Irvine, United States
On-site
Internship
Intern
Robot Learning & AI
Mission, Interaction & Insights
13 October 2026

About the role

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. 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.   Why Join FieldAI FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

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