Robotics Intern

Tri-global Solutions Group Inc.

. Conduct original research on world action models for robot policy, from problem definition through experiments and analysis .

Posted 11/6/2026internshipCambridge • Massachusetts • United StatesEntry Level💰 $40 - $58 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in training and fine-tuning large models for robotics applications, with strong proficiency in Python and deep learning frameworks like PyTorch. Capable of conducting original research, deploying policies on humanoid platforms, and collaborating effectively across teams.

Highest-signal resume keywords

Python ProgrammingDeep Learning FrameworksModel Training and Fine-TuningHuman-Robot InteractionResearch Publication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model-Based PlanningLong-Horizon Task ExecutionData Pipeline IntegrationSimulation ExperimentationRobotics Prototyping

Soft Skills

CollaborationCommunication

Tools & Technologies

PyTorchC++Robot Middleware

Industry Keywords

RoboticsMachine LearningHuman-Centered EnvironmentsWorld ModelsVideo Prediction

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Conduct original research on world action models for robot policy, from problem definition through experiments and analysis
Mid-train, fine-tune, or post-train world action models, and evaluate them in simulation and on humanoids or mobile manipulators
Design evaluations measuring long-horizon task success and interaction quality with people
Collaborate with researchers and engineers across teams, the Robotics division, and university partners
Share results through internal presentations, peer-reviewed publications, and appropriate open-source releases
Adapt pre-trained world foundation models into world action models serving as robot policies
Deploy policies on humanoid platforms or other mobile manipulators in human-centered environments
Turn ideas into working prototypes and run experiments in simulation and on real robots
Work with large existing datasets and robot and human-interaction data

Requirements

What you’ll need

Currently pursuing a Ph.D. or M.S. in Robotics, Computer Science, Machine Learning, Mechanical Engineering, or a related field
Experience training or fine-tuning large models (e.g., VLMs, VLAs, or video/world models) on large datasets
Strong Python skills
Fluency with a deep learning framework such as PyTorch
C++ experience is helpful but not required
Publications at top-tier robotics or ML venues (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, HRI) are a bonus
Experience deploying learned policies on real robots, especially humanoids or mobile manipulators, is a bonus
Background in world models, video prediction, or other model-based planning is a bonus
Experience with human-robot interaction, human motion or intent prediction, or learning from egocentric human video is a bonus
Experience with long-horizon or hierarchical task execution is a bonus
System integration skills across ML tooling, simulation, robot middleware, and data pipelines are a bonus

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Paid time off, including holiday pay and sick time