Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

United States·PittsburghInternshipentry

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Quick Summary

Key Responsibilities

Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Research experience in robot learning, reinforcement learning,

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OtherResearch Intern

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.

We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.

This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI’s deployed autonomy stack.

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.

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.

Location & Eligibility

Where is the job

Pittsburgh, United States

On-site at the office

Who can apply

Listed under

United States

Listing Details

Posted: April 24, 2026
First seen: April 24, 2026
Last seen: May 5, 2026

Posting Health

Days active: 10
Repost count: 0
Trust Level: 56%
Scored at: May 5, 2026

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Field Ai

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Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.

Employees

Founded

2023

Domain

fieldai.com

Jobs

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Salary

USD 50–53

per year

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