Robotics Research Intern, Robot Learning… at FieldAI · Pittsburgh

Summary: FieldAI is transforming how robots interact with the real world, building AI systems that tackle complex challenges in robotics. The internship focuses on advancing embodied intelligence through robot learning and autonomy, where interns will design experiments and develop learning pipelines to contribute to real robotic platforms. Responsibilities: - Develop multi-modal data collection platform for day/night robot navigation data collection - Collect high-quality datasets for reproducible and comparable research and evaluation - Summarize and publish learnings in high-quality robot research conference or journal - Ability to work independently while collaborating effectively in a research environment Required Qualifications: - Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field - Research experience in robot learning, reinforcement learning, imitation learning, or related areas - Strong foundation in machine learning fundamentals and experimental methodology - Develop multi-modal data collection platform for day/night robot navigation data collection - Collect high-quality datasets for reproducible and comparable research and evaluation - Summarize and publish learnings in high-quality robot research conference or journal - Ability to work independently while collaborating effectively in a research environment - Strong interest in embodied intelligence and real-world robotics systems Preferred Qualifications: - Prior experience working with real robot platforms - Familiarity with ROS or ROS 2 - Experience with large-scale or distributed training systems - Publications or open-source contributions in robotics or AI - Background in perception, planning, or control for robotics - Interest in bridging foundational research with deployed robotic systems Required Skills: Robot learning, Reinforcement learning, Imitation learning, Machine learning fundamentals, Experimental methodology, Multi-modal data collection, Robotics research publication, Real robot platforms, ROS, ROS 2, Large-scale training systems, Distributed training systems, Perception for robotics, Planning for robotics, Control for robotics Internship Start Date: Start in 2026 Summer