Robotics Research Scientist Intern (Winter/Spring 2026)

The Company
Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.

The Role
Tutor Intelligence is using AI to learn from a large fleet of robots to do useful work factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale.

At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.

We're looking for interns who can start in December 2025/January 2026 and join us for ~4 months to do substantial, impactful work.

Requirements:
• Exceptionally strong programming skills
• You should have significant research experience, including first author publications at top-tier peer-reviewed conferences (e.g., ICRA)
• Natural collaborator, excited to work closely with a team of researchers and engineers
• Research experience, practiced at solving open-ended problems
• Excited to reshape the physical economy by filling factories with intelligent robots
• Not afraid to step foot in a factory or a warehouse

Nice to haves (zero or more):
• Experience training and improving AI models, especially models used in robotics (e.g., diffusion policy)
• Advanced proficiency with Python
• Experience with robot arms / manipulation
• Experience with motion planning and robot optimization
• Experience with perception or computer vision (deep or classical)
• Experience with infra and devtools (systemd, Docker, Kubernetes)