Job Specifications
Field 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.
About the Job
We are offering a Graduate Research Internship in Robot Learning, designed for MS and PhD students who want to contribute to advancing the state of embodied intelligence. As a graduate intern, you will work closely with Field AI researchers and engineers to investigate novel methods for skill learning, foundation models in robotics, and large-scale training pipelines.
This internship provides the opportunity to develop research ideas, design experiments, and directly test your work on real robots — bridging cutting-edge AI with practical field deployment. Interns will also have the chance to contribute to publications, open-source software, and collaborative projects that advance the robotics research community.
What You’ll Get To Do
Conduct Research in Robot Skill Learning
Investigate algorithms for learning transferable skills across diverse robot embodiments
Explore reinforcement learning, imitation learning, and multimodal foundation model approaches
Advance Foundation Models for Robotics
Adapt VLMs and LLMs for robotics applications in perception, reasoning, and control
Work on methods for grounding language and vision models in real-world robot tasks
Large-Scale Training and Experimentation
Design and run large-scale training pipelines in PyTorch and distributed systems
Experiment with sim-to-real transfer, domain adaptation, and scaling laws for robot learning
Deploy and Validate on Real Robots
Test and validate research ideas on real platforms (manipulators, mobile robots, and more)
Tackle field robotics challenges such as traversability, locomotion, and dexterous manipulation
Collaborate and Publish
Partner with Field AI’s research team to drive forward projects with real-world impact
Contribute to publications in top-tier venues (CoRL, ICRA, NeurIPS, ICML, CVPR, etc.) where appropriate
What You Have
Current MS or PhD student in Robotics, Computer Science, AI/ML, or a related field
Research experience in robot learning, reinforcement learning, imitation learning, or foundation models
Proficiency with Python and ML frameworks (PyTorch strongly preferred)
Strong background in machine learning fundamentals and experimental design
Ability to analyze results rigorously and iterate quickly on research ideas
A passion for robotics and embodied intelligence
The Extras That Set You Apart
Published research in robotics, AI/ML, or related fields. (CoRL, ICRA, IROS, NeurIPS, ICML, CVPR, etc.)
Experience with distributed training, large-scale ML systems, or high-performance computing
Hands-on experience with real robot platforms and sim-to-real research
Familiarity with ROS/ROS2 or other robot middleware
Contributions to open-source projects in robotics or AI
Background in perception (3D vision, mapping, traversability analysis) or dexterous manipulation
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are head