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Tri-global Solutions Group Inc.

Robotics Intern, Human Aware Interactions and Learning

Tri-global Solutions Group Inc.

. Research robot learning and human-robot interaction at the intersection of multimodal policy learning, hierarchical reasoning, human-aware policy adaptation, uncertainty-aware teaming, collaborative data, and shared autonomy .

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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing multimodal policies and hierarchical reasoning frameworks for human-robot interaction, with a strong foundation in machine learning and robotics. Proficient in software development, particularly in Python, and experienced in conducting user studies and system integration.

Highest-signal resume keywords
Ph.D. Or M.S. In RoboticsMachine Learning ExperienceStrong Software Development Skills In PythonPublication Record At Top-Tier Robotics/ML ConferencesHands-On Experience With Robot Hardware

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Multimodal Policy LearningHierarchical Reasoning FrameworksData-Driven Robot PoliciesBehavior CloningReinforcement LearningStatistical AnalysisSystem Integration SkillsFast PrototypingUser Study MaterialsVision-Language-Action Models
Soft Skills
CollaborationCommunicationPassion For Robotics
Tools & Technologies
PythonC++Machine Learning ToolsLarge DatasetsRobotic Systems
Industry Keywords
RoboticsHuman-Robot InteractionCollaborative DataUser StudiesIRB Applications

Tech Stack

Tools & technologies
PythonC++

About the role

Key responsibilities & impact
  • Research robot learning and human-robot interaction at the intersection of multimodal policy learning, hierarchical reasoning, human-aware policy adaptation, uncertainty-aware teaming, collaborative data, and shared autonomy
  • Develop general algorithms for robust multimodal policies that reason over actions in the presence of humans
  • Develop hierarchical reasoning frameworks for human and shared task states, including intent, cues, and roles
  • Robustify data-driven robot policies for human interaction, including data aggregation and simulation-based adaptation of vision-language-action models
  • Estimate and calibrate policy success under human context and use estimates to guide collaborative robot behavior
  • Explore human-human, synthetic, and semi-synthetic data sources for robot-policy training and collaborative demonstrations
  • Develop shared autonomy with vision-language-action models for autonomous and manual control
  • Create working code prototypes
  • Interact frequently with team members
  • Run experiments with simulated and real physical robots
  • Participate in publishing work in peer-reviewed venues
  • Work with large static datasets and help build and maintain a new corpus of robot data

Requirements

What you’ll need
  • Currently pursuing a Ph.D. or M.S. in Robotics, Computer Science, Mechanical Engineering, or a related field
  • Publication record at top-tier robotics/ML conferences (RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, ICCV, HRI)
  • Hardware experience, especially deploying learned policies on real robotic systems, strongly preferred
  • Experience with machine learning and familiarity with large datasets, models, and benchmarks
  • Strong software development skills in Python
  • Experience in C++ helpful but not strictly required
  • Experience conducting user studies involving real robot hardware
  • Hands-on experience with machine learning for learned control, including behavior cloning and/or reinforcement learning, for manipulation
  • Experience with interactive machine learning techniques adapting robot policies given human feedback/corrections
  • Experience with qualitative and quantitative user research, including user study materials, IRB applications, facilitation and interviewing, PII management, and statistical analysis
  • System integration skills using state-of-the-art ML tools and databases
  • Comfort with fast prototyping and running informative experiments
  • Passion for robotics helping humans and creating real-world impact

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Paid time off, including holiday pay and sick time
  • Paid 12-week internship