Build AI algorithms and systems enabling novel robot capabilities in labs and factories
Develop robot learning algorithms deployed on real hardware at scale
Contribute to research potentially resulting in first-author robotics publications
Work directly with deployed robot fleets to improve technology through real-world operation
What they're looking for
Exceptionally strong programming fundamentals and significant research experience
First-author publications at top-tier peer-reviewed conferences like ICRA
Natural collaborator excited to solve open-ended problems with research teams
Willingness to work in factories and warehouses; comfort with physical environments
The Company
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
As an AI robotics company that 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.
Our Culture
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We're characterized by both technical excellence and next-level collaboration and respect.
The Role
Tutor Intelligence is using AI to learn from a large fleet of robots to do useful work in 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 join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.
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)
About Our Roles & Titles
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS).
Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process. That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
From Tutor Intelligence's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
