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Salary
$100k – $300k per year
Location
In office (Watertown)
Visa
H-1B filings in 12 months: 3 · for this role: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Aug 30, 2025. Tutor Intelligence scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tutor Intelligence is an industrial AI and robotics software company that builds AI robotics systems and deploys them in facilities. It was spun out of the MIT Computer Science and Artificial Intelligence Laboratory in 2021 and hires computer vision, electrical, mechanical and test engineers. The company is headquartered in Watertown, Massachusetts, United States.

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

Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.

Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, 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.

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.

Requirements

  • Exceptionally strong programming skills and comfort in one or more programming languages
  • Natural collaborator, excited to work closely around a whiteboard in a team setting
  • Excited by the future full of robots and a reshaped physical economy
  • Not afraid to step foot in a factory or a warehouse

Nice to haves (zero or more)

  • Advanced proficiency with Python and/or Typescript + React
  • 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)
  • Experience with hardware / software integration

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.

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