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Senior Research Engineer, Computer Vision

Own perception for robot manipulation research at a robotics startup focused on deploying advanced AI and hardware solutions.

Location
Watertown, MA, United States
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

Apply at Tutor Intelligence → Save job Scanned from tutorintelligence.com

What you'll build

  • Own perception for robot manipulation research
  • Define problems and collect data
  • Evaluate and integrate on physical robots
  • Combine camera geometry with learned models
  • Ground decisions in measured performance

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In this role, the Senior Research Engineer focuses on advancing robot manipulation capabilities by overseeing the entire process from defining problems to integrating solutions on physical robots. Key skills include expertise in computer vision, camera geometry, and machine learning techniques such as reinforcement learning. This position is ideal for experienced engineers with a strong background in robotics and a passion for applying research to real-world applications. Tutor Intelligence's collaborative environment allows for significant interaction with both research and applied engineering teams.

Joblaze insights

  • Listed today — first seen on Joblaze November 9, 2026. Last confirmed on Tutor Intelligence's careers page November 9, 2026.
  • Computer Vision appears in 3.8% of 575 comparable senior ai/ml roles in United States; Artificial Intelligence appears in 1.6% of 575 comparable senior ai/ml roles in United States.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Artificial Intelligence, Computer Vision, Robotics.
What seniority level is this role?
Tutor Intelligence targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Research Engineer, Computer Vision role at Tutor Intelligence.

From the original posting

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.

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