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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Machine Learning Engineer - Robotics

Computer VisionConfirmed live in the last 24 hours
Full-timeWatertown, MA, USA$100k - $315k /yr

About the Job

Requirements

  • Knowledge of machine learning models, particularly visual models, with an emphasis on recent advanced models such as SAM and DINO.
  • Strong software skills.
  • Full-stack knowledge, including working on machine learning models in Python, setting up inference infrastructure and web user interfaces, and performing database operations.
  • General robotics knowledge and experience.
  • Domain expertise in computer vision and robotics.

Responsibilities

  • Train, fine-tune, and deploy visual and language foundation models across the stack.
  • Manage data in databases and optimize the flow of information from robots to maximize machine learning potential.
  • Create and improve deep learning models such as convolutional neural networks.
  • Build a cloud-based data and model training platform.
  • Find ways to help robots optimize for speed and accuracy.
  • Deploy models to robots in the field and manage a tight feedback loop.

About the Company

Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Tutor Intelligence provides AI-powered manufacturing and packaging robots to American factories through flexible 12-hour leasing. The robots handle tasks like conveyor loading, end-of-line packing, kitting, palletization, and depalletization, and are powered by a hybrid human-artificial intelligence engine that enables deployment in minutes rather than months. Unlike traditional robotics purchases, the company offers a scalable, cost-effective leasing model that delivers a steady revenue stream while giving clients the ability to scale automation up or down as needed. The company’s goal is to help factories boost productivity and reduce labor costs by making automation accessible without large upfront investments.

Company size
51-200
Company stage
Series B
Total funding
$113.5M
Headquarters
Watertown, MA
Founded
2021

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