FAQs
Do we support remote work?
Yes, we do remote work but in a hybrid format.
What are the main responsibilities of the Multimodal Learning Intern?
The main responsibilities include advancing the training of large-scale robot foundation models, implementing high-performance machine-learning pipelines, collaborating with researchers and engineers, and presenting results at various conferences.
What qualifications are required for this internship?
The qualifications include being currently enrolled in a Ph.D. program in Machine Learning, Robotics, or related fields, having publications at high-impact conferences, proficiency in programming languages like Python, and experience with large-scale foundation models is desirable.
Is this internship paid?
Yes, this is a paid internship opportunity.
What is the duration of the internship?
The internship is a 12-week program during the summer of 2025.
Where will the internship take place?
The internship will be a hybrid in-office role, meaning some work will be done remotely and some on-site.
What is the pay range for this position?
The pay range for this position is expected to be between $45 and $65 per hour for California-based roles.
Will I have the opportunity to collaborate with external partners during the internship?
Yes, interns will have the chance to collaborate with internal research scientists, engineering teams, and partner labs at top academic research universities.
What skills are preferred for this internship?
Proficiency in coding languages such as Python, experience with Unix, and familiarity with deep learning frameworks like PyTorch are preferred skills.
What is Toyota Research Institute's stance on diversity and inclusion?
TRI is dedicated to fostering an innovative and collaborative environment by valuing diversity and providing Equal Employment Opportunity for all applicants without regard to various protected statuses.