Tutor builds generally capable robots and puts them to work. Delivered in days not years, from $14 an hour. Backed by AI Grant and USV.
About the role
Build perception that makes robot manipulation experiments reliable. You will own a significant vision system from problem definition and data collection through evaluation, integration, and ongoing improvement on physical robots. The work combines camera geometry and learned models, with decisions grounded in measured performance. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Evidence of independently owning a substantial computer-vision system from an ambiguous problem through tested integration
- Strong Python engineering and experience writing maintainable code, tests, and reproducible experiments
- Practical command of camera models, calibration, coordinate frames, and 3D geometry
- Experience with geometric vision or learned visual models, with the judgment to explain when each approach is appropriate
- Ability to build representative evaluations, isolate failure modes, and distinguish model improvements from data or measurement artifacts
- Ability to communicate technical tradeoffs and resolve interfaces with engineers in other disciplines
More about this role
We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that.
We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work.
Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.
Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.
Build perception that makes robot manipulation experiments...
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