FAQs
What is the duration of the internship?
The internship is a paid 12-week opportunity during the Summer of 2025.
Is this internship remote or in-person?
This internship is a hybrid in-office role.
What is the main focus of the research for this internship?
The main focus is on developing large-scale multi-modal models that bridge visual, language, and robotic domains, particularly for robot foundation model pretraining.
What qualifications are required for this internship?
Candidates should be pursuing a Ph.D. in Machine Learning, Robotics, or related fields, have publications in high-impact conferences or journals, and possess proficiency in coding languages such as Python, as well as familiarity with deep learning frameworks like PyTorch.
Will I have opportunities to collaborate with other research scientists?
Yes, you will collaborate with internal research scientists, engineering teams, and partner labs at prominent academic institutions to drive pioneering research.
Is experience with robots a requirement for this internship?
While not mandatory, familiarity with robots and the challenges of conducting research on physical hardware platforms is desirable.
What programming languages should I be proficient in?
Proficiency in one or more coding languages, preferably Python, Unix, and a Deep Learning framework such as PyTorch, is required.
Are there opportunities to present research findings?
Yes, you will have opportunities to present your results at international conferences, internally, and through open-source contributions to the community.
Does TRI support diversity and inclusion in hiring?
Yes, TRI is dedicated to fostering an innovative and collaborative environment and provides Equal Employment Opportunity for all, regardless of various protected statuses.
Will this internship involve working with large-scale datasets?
Yes, the internship involves working with large-scale datasets of physical interaction to train general-purpose robot behaviors.
