FieldAI · 3 months ago
1.78 Robotics Graduate Research Internship – Robot Learning - Pittsburgh
Field AI is transforming how robots interact with the real world by building reliable AI systems that address complex challenges in robotics. The Graduate Research Internship in Robot Learning offers MS and PhD students the opportunity to conduct research, design experiments, and test their work on real robots, contributing to advancements in embodied intelligence.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Recent News
Crunchbase News
2025-12-19
2025-10-16
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