FieldAI · 6 hours ago
1.78 Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship
Pittsburgh, PA
Internship
Onsite
Intern
Start in 2026 SummerFieldAI is transforming how robots interact with the real world, and they are seeking a Robotics Research Intern for Summer 2026. In this role, you will work closely with researchers to explore novel approaches to robot learning and autonomy, focusing on scalable methods that generalize across tasks and embodiments.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Conduct Research in Robot Learning
Investigate learning-based approaches for robotic autonomy, including reinforcement learning, imitation learning, and multimodal foundation models
Explore methods for learning transferable skills across tasks, environments, and robot embodiments
Contribute to research projects from early ideas through experimental validation
Advance Robotics Foundation Models
Work on adapting large-scale vision, language, and multimodal models for robotics applications
Support research on grounding perception and reasoning models in real-world robot behavior
Collaborate on embodiment-agnostic representations that enable transfer across platforms
Large-Scale Training and Experimentation
Design and run training pipelines using modern ML frameworks
Experiment with sim-to-real transfer, domain adaptation, and data scaling strategies
Analyze results rigorously and iterate quickly on research hypotheses
Deploy and Validate on Real Robots
Test and validate research ideas on real robotic platforms, including manipulators and mobile robots
Help address real-world robotics challenges such as perception noise, partial observability, and system robustness
Participate in field testing and data collection efforts
Collaborate and Learn
Partner closely with FieldAI research scientists and engineers across disciplines
Contribute to internal research discussions, reviews, and technical presentations
Where appropriate, contribute to publications, preprints, or open-source projects
Qualification
Required
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
Proficiency in Python and experience with ML frameworks such as PyTorch
Ability to work independently while collaborating effectively in a research environment
Strong interest in embodied intelligence and real-world robotics systems
Preferred
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
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.
Founded in 2023
11-50 employees
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
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase