Human-Centered AI Research Intern, Causal Reasoning Models

Tri-global Solutions Group Inc.

. Perform research and publish in relevant venues, including NeurIPS, ICML, ICLR, CLeaR, UAI, COLM, ACL, EMNLP, or TMLR .

Posted 9/17/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in generative AI technology and causal reasoning within language-based machine learning models, with a strong focus on human-centered research and collaboration across disciplines. Proven ability to publish research in top-tier venues and engage in strategic discussions that connect research outcomes to business impact.

Highest-signal resume keywords

Ph.D. In AI/ML, Computer Science, Data Science, Or StatisticsCausal Inference Research ExperiencePython ProgrammingDeep Learning Frameworks Such As PyTorchLLM Evaluation And Benchmarking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceStructural Causal ModelsCounterfactual ReasoningPrompt OptimizationReinforcement LearningSupervised Fine-TuningMechanistic InterpretabilityUser StudiesExperimentsDeep Learning

Soft Skills

Excellent CommunicationTeamwork

Industry Keywords

Generative AIHuman-Centered ResearchBehavioral ScienceComputational Social ScienceNeurIPSICMLICLRCLeaRUAIEMNLP

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Perform research and publish in relevant venues, including NeurIPS, ICML, ICLR, CLeaR, UAI, COLM, ACL, EMNLP, or TMLR
Take ownership of the project from inception and ideation through validation of developed methods
Collaborate cross-functionally with machine learning, behavioral, and social scientists
Research and develop generative AI technology for understanding human behavior
Study causal reasoning in language-based generative machine learning models
Develop methods for testing and improving causal reasoning
Engage in strategy discussions connecting research to business impact at Toyota

Requirements

What you’ll need

Ph.D. student in AI/ML, computer science, data science, statistics, or a related field
Publication record or demonstrated research experience in causal inference, including structural causal models, identification, and counterfactual reasoning
Hands-on experience with LLM evaluation and benchmarking, mechanistic interpretability, or methods for improving LLM reasoning
Experience with prompting and prompt optimization, post-training, supervised fine-tuning, reinforcement learning with verifiable rewards, pretraining, or architectural changes
Experience with Python programming and deep learning frameworks such as PyTorch
Interest in human-centered research, including behavioral science and computational social science
Experience with qualitative and/or quantitative methods such as experiments and user studies
Excellent communication and teamwork skills
Google Scholar link and full publication list included with CV

Benefits

Comp & perks

Paid 12-week internship
Medical, dental, and vision insurance
Paid time off, including holiday pay and sick time
Generous benefits package
Equal Employment Opportunity