Manipulation Co-Op/Internship (Spring 2026) jobs in United States
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Tuesday Lab · 1 month ago

Manipulation Co-Op/Internship (Spring 2026)

Tuesday Lab builds delightful robots and is seeking a talented graduate student for their Manipulation Co-Op Program. The role involves fine-tuning language-conditioned robot policies and deploying them onto physical robot hardware, bridging the gap between AI and real-world robot behavior.

Artificial Intelligence (AI)Developer ToolsLogisticsManufacturingRobotics
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H1B Sponsor Likelynote

Responsibilities

Assist with data collection, writing software and helping to operate our robot as it performs various delightful tasks around the office
Fine-tune language-conditioned robot policy models (such as VLAs and diffusion policies) on our custom robotics datasets to achieve specific manipulation behaviors, working closely with our ML engineers
Test and validate model performance on the physical robot, troubleshooting issues that span from the model's "understanding" to its physical execution
Collaborate with our hardware and software teams to integrate the ML-driven behaviors into the robot's autonomy stack

Qualification

Fine-tuning large-scale modelsDeploying models on robotsRobotics middleware (ROS/ROS2)Understanding sim2real gapOn-device optimizationImitation learningData collection at scaleTechnical excellenceProduct focus

Required

Academic status: currently enrolled in a graduate-level (MS or PhD) computer science or robotics degree program
ML Skillset: Proven experience fine-tuning large-scale models (e.g., VLMs, VLAs, or large transformers) using PyTorch, JAX, or a similar framework
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)
A strong understanding of the sim2real gap and experience with techniques to bridge it
A portfolio of projects (e.g., from GitHub, a personal blog, or academic papers) demonstrating hands-on robotics and ML integration

Preferred

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

Benefits

The opportunity to play a critical role in developing the future of home robotics.
Work alongside people with deep expertise who love playful applications and are excited about building the future.
Freedom to rapidly iterate, contribute to the technical direction of the company, and contribute novel and impactful solutions to important problems in robotics.

Company

Tuesday Lab

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Tuesday Lab builds delightful robots.

H1B Sponsorship

Tuesday Lab has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Early Stage
Total Funding
$0.5M
Key Investors
Y Combinator
2024-04-03Pre Seed· $0.5M
Company data provided by crunchbase