Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship

Field AI|09 Apr 2026

internshiponsite

Before you apply

Listed location: Pittsburgh, PA

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by Field AI; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

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.

What You Have:

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.

The Extras That Set You Apart

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.

What You Have:

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.

The Extras That Set You Apart

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.

Our salary range is generous and 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.

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 headquartered in always-sunny Irvine, Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Skills mentioned

GoReinforcement Learning

Frequently asked questions

Is the Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship position at Field AI remote?

The Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship role at Field AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship role?

Field AI is hiring for a internship Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship position.

Which skills are mentioned for the Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship job at Field AI?

Detected skill labels include Go, Reinforcement Learning. Check the employer description to distinguish required skills from preferred experience.

How do I apply for the Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship position at Field AI?

You can apply for the Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship role directly through Field AI's official application link provided on this page.