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Tuesday Lab

Subscription-based remote robotics support

Manipulation Co-Op / Internship

Applied Machine Learning +1Posted on Apr 20
Internship · Summer 2026New York, NY, USA$40 - $100 /hrIn-person

About the Job

Requirements

  • Academic status: currently enrolled in a graduate-level (MS or PhD) computer science or robotics degree program.
  • ML Skillset: Proven experience fine-tuning robot policies, or computer vision models specifically in the domain of robotic manipulation.
  • Robotics Skillset: Hands-on experience deploying models onto real-world robots. Familiarity with robotics middleware (like ROS/ROS2) and the challenges of working with physical hardware (sensors, actuators).
  • Portfolio: A portfolio of projects (e.g., from GitHub, a personal blog, or academic papers) demonstrating hands-on robotics and ML integration.

Responsibilities

  • Deploy and benchmark large computer vision, language, and policy models.
  • Implement research papers spanning both classical and learned approaches to robotic control and perception.
  • Propose and evaluate ideas for our autonomy stack in collaboration with our manipulation team.

Desired Qualifications

  • Experience specifically with imitation learning, diffusion policies, or other modern manipulation-focused models.
  • Familiarity with on-device optimization (e.g., TensorRT, quantization, pruning).
  • Experience with data collection at scale, especially using teleoperation.

About the Company

Tuesday Lab

Subscription-based remote robotics support

Adagy Robotics provides 24/7 remote intervention for robotic systems through a remote call center, offering real-time troubleshooting and issue resolution via a subscription model. Engineers monitor and troubleshoot robots remotely in real time, with subscriptions granting continuous access and customized service packages including optional on-site support and consulting. Led by veterans from Tesla and Boston Dynamics, the team combines robotics and AI expertise with a 24/7 remote support setup to deliver industry-tailored coverage and faster issue resolution. The goal is to reduce robotic downtime and boost productivity by keeping systems reliable, optimized, and continuously supported.

Company size
1-10
Company stage
Seed
Total funding
$130K
Headquarters
New York City, New York
Founded
2023

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