Senior Research Engineer, Computer Vision
Tutor Intelligence
Listing collected from Tutor Intelligence's career site. NextChapter is independent of Tutor Intelligence.
Watertown, MA · $180k–$315k a year · Posted October 8, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Tutor Intelligence
More in Massachusetts job market · Engineering jobs
More roles at Tutor Intelligence
- Enterprise Sales Director · Watertown, MA
- Head of Company Operations · Watertown, MA
- Head of Technical Operations (Manufacturing, Supply Chain, Field) · Watertown, MA
- Head of Hardware Engineering · Watertown, MA
- Head of Supply Chain · Watertown, MA
- Enterprise Sales Director · Los Angeles, CA
Similar jobs
- Research Engineer – Simulation · Eka Robotics · Boston, MA
- Test Cell Applications Engineer (North Reading, MA or Agoura Hills, CA) · Teradyne · MA
- Senior Research Engineer 1 · Verisk Analytics · Boston, MA
- Research Engineer - Cryptography · Riverside Research · Lexington, MA
- Research Engineer · Northeastern University · Boston, MA
- GPU HW Research Engineer (San Diego/Boxborough) · Qualcomm Inc/De · Boxborough, MA
Where Watertown, MA ranks
Where Watertown, MA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for pay after cost of living in the Northeast$193k · of 26
- #1Best cities for pay after cost of living in New England$193k · of 11
- #1Best cities for pay after cost of living in Massachusetts$193k · of 9
- #2Best cities for director and executive jobs in the Northeast51% · of 70
- #2Best cities for director and executive jobs in New England51% · of 28
- #5Best cities for AI-skill jobs in New England15% · of 28
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
About Tutor We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United States. 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.
The Role Tutor's research team pushes the frontier of robot capability across the full stack. Researchers have access to 100+ robots for data collection and evaluation, a massive network of teleoperators, scaled hardware and manufacturing infrastructure, and the ability to collect real world data at enormous scale. Our work covers the complete lifecycle of real-world data generation and model training from initial behavior cloning to post-training with supervised fine-tuning and reinforcement learning. And researchers and research engineers work closely with applied engineers to develop novel techniques into robot products that can be deployed at scale.
You'll own perception for robot manipulation research, from problem definition and data collection through evaluation and integration on physical robots, combining camera geometry and learned models with decisions grounded in measured performance.
What you'll work on
Define the approach and success criteria for open perception problems in robot manipulation.
Build and integrate detection, segmentation, tracking, object pose estimation, and 3D scene understanding.
Own camera calibration, coordinate transforms, synchronization, and checks that catch degraded sensor quality.
Build reproducible datasets and evaluations that cover changes in objects, lighting, viewpoint, and occlusion.
Choose between geometric methods and learned models based on accuracy, latency, and robustness on the robot.
Requirements
You have owned a substantial computer-vision system from an open problem through tested integration.
Strong Python, with maintainable code, tests, and reproducible experiments.
Practical command of camera models, calibration, coordinate frames, and 3D geometry.
Experience with both geometric vision and learned visual models, and the judgment to pick between them.
The ability to separate model improvements from data or measurement artifacts.
Nice to haves
Perception deployed on physical robots, especially manipulation systems.
Multi-camera or depth systems, sensor fusion, SLAM, or object pose estimation.
OpenCV, Open3D or PCL; a modern deep-learning framework; C++ or GPU optimization.
Why Tutor? Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable. Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in. Benefits We take care of our team so they can do their best work. At Tutor, you’ll get: Fully employer-covered health insurance, so you’re protected without the premium. A managed 401(k) to help you plan for the future. Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees. Regular in-office meals and team social events throughout the year. As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond. Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.