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

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.

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