Research Intern: Machine Learning for Modeling Human-AI Group Interaction

Honda Research Institute USA; San Jose (CA); On-site; USD 40,000 - 49,000; Part time

Job summary

Honda Research Institute USA invites a research intern to develop ML models for understanding group interactions among humans and AI. The intern will design, implement, and evaluate multimodal models using language, speech, and visuals to infer group states.

The project emphasizes group dynamics beyond individual participants and explores multimodal signals, temporal modeling, and simulations with multiple AI agents. Start May 2027 for a 3-month internship in San Jose, CA.

Qualifications

• Current Ph.D. student in Computer Science or a related field.
• Experience in machine learning and at least one relevant area such as NLP, speech processing, computer vision, or human behavioral modeling.
• Interest in group interaction and human-AI collaboration.
• Strong ability to communicate research ideas and collaborate in an interdisciplinary environment.

Responsibilities

• Develop machine learning methods for representing and inferring evolving states in multi-party human-AI interactions.
• Model linguistic, acoustic, visual, or behavioral signals from interactions involving three or more participants, exploring multimodal integration where relevant.
• Develop models to infer or predict interaction transitions, such as participation shifts, coordination difficulties, or group adaptation.
• Depending on the research focus, develop multi-agent simulations to complement modeling and evaluation with recorded multimodal group interactions.

Skills

Machine learning

NLP

Speech processing

Group dynamics

Multi-agent

Education

PhD student (CS)

Job description

Research Intern: Machine Learning for Modeling Human-AI Group Interaction - Honda Research Institute USA

Job Number: P26INT-17

Honda Research Institute USA (HRI-US) is seeking a research intern to develop machine learning models for understanding how interactions evolve within groups of three or more human and AI participants. The intern will design, implement, and evaluate models using language, speech, visual behavior, or participation patterns to continuously infer the state of a multi-party interaction. The research focuses on group-level interaction processes that extend beyond an isolated participant or a dyadic exchange. The intern will investigate how interaction signals reflect changes in participation, coordination, and adaptation among group members. Relevant approaches include multimodal representation learning, temporal modeling, natural language processing, social signal processing, and simulation with multiple AI agents. This position emphasizes modeling group interaction dynamics.

San Jose, CA

Key Responsibilities

• Develop machine learning methods for representing and inferring evolving states in multi-party human-AI interactions.
• Model linguistic, acoustic, visual, or behavioral signals from interactions involving three or more participants, exploring multimodal integration where relevant.
• Develop models to infer or predict interaction transitions, such as participation shifts, coordination difficulties, or group adaptation.
• Depending on the research focus, develop multi-agent simulations to complement modeling and evaluation with recorded multimodal group interactions.

Minimum Qualifications

• Current Ph.D. student in Computer Science or a related field.
• Experience in machine learning and at least one relevant area, such as natural language processing, speech processing, computer vision, or human behavioral modeling.
• Interest in group interaction and human-AI collaboration.
• Strong ability to communicate research ideas and collaborate in an interdisciplinary environment.

Bonus Qualifications

• Publications on group dynamics, social norms, or human-AI interactions in top-tier conferences.
• Experience applying machine learning to multi-party interaction and group behavior.
• Experience in interdisciplinary research involving human-computer interaction, cognitive science, or computational social science.

Years of Work Experience Required 0

Desired Start Date May 2027

Internship Duration 3 Months

Position Keywords

• Natural Language Processing
• Speech Processing
• Human-AI Teaming
• Machine Learning
• Multi-Agent Simulation