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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 fitCore 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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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 & technologiesPythonC++
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