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, TMLR, ACIC, or EuroCIM .

Posted 11/10/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in causal inference and generative AI, with a strong publication record in relevant venues. Proficient in Python programming and deep learning frameworks, with a focus on human-centered research and collaboration across disciplines.

Highest-signal resume keywords

Ph.D. In AI/ML, Computer Science, Data Science, Or Related FieldCausal 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 ReasoningGenerative AIDeep LearningLLM Reasoning ImprovementPrompt OptimizationQuantitative MethodsQualitative MethodsUser Studies

Soft Skills

Excellent CommunicationTeamwork

Industry Keywords

NeurIPSICMLICLRCLeaRUAICOLMACLEMNLPTMLRACIC

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, TMLR, ACIC, or EuroCIM
Take ownership of the project from inception and ideation through validation of developed methods
Collaborate cross-functionally with machine learning researchers and behavioral and social scientists
Research and develop technology leveraging generative AI to understand 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 related fields - AI/ML, computer science, data science, statistics, or related field
Publication record or demonstrated research experience in causal inference (structural causal models, identification, counterfactual reasoning)
Hands-on experience with LLM evaluation and benchmarking, mechanistic interpretability, and/or methods for improving LLM reasoning, including prompting and prompt optimization, post-training, 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
Link to Google Scholar and full list of publications when submitting CV

Benefits

Comp & perks

Paid 12-week internship
Medical, dental, and vision insurance
Paid time off, including holiday pay and sick time
Vacation and sick time