Robotics Machine Learning Engineer

Tutorintelligence; Watertown (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tutor Intelligence is seeking an engineer with domain expertise in computer vision and robotics to close the loop between human instruction and robot automation. You will create and deploy deep learning models such as CNNs, build a cloud-based data and model training platform, and optimize for speed and accuracy on the field robots.

As part of a cross-disciplinary team, you will work across full stack web development, ML inference infra, and robotics hardware, collaborating to push the frontier

Qualifications

• Experience in computer vision and robotics.
• Experience deploying ML models to hardware / edge devices.
• Cross-disciplinary collaboration across software and hardware teams.
• Strong software skills and ability to work across the stack (Python, infra, web UI).
• Familiarity with visual foundation models such as SAM, DINO or similar.

Responsibilities

• Train, fine tune, and deploy visual and language foundation models across our stack.
• Manage data in databases and optimize the flow of information from robots to ML pipelines.
• Knowledge of machine learning models, particularly visual models such as SAM, DINO.
• Strong software skills and ability to spin up inference infrastructure, web UI, and perform database operations.
• General robotics knowledge and experience.

Skills

Computer vision

Robotics

Software development

Python

Full stack development

Machine learning

Tools

SAM

DINO

Databases

Job description

The Company:

Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who 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. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.

The Role:

In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.

For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.

At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.

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 work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.

• Train, fine tune, and deploy visual and language foundation models across our stack
• Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential
• Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
• Strong software skills
• Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
• General robotics knowledge & experience