Human-Centered AI Research Intern, Human Language Models
Контакты
45 - 65$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
aipythonllmmachine learningpytorchdeep learningcomputational social sciencehuman modeling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Чётко очерченный исследовательский проект в известном AI-институте даёт сильный опыт и шанс на публикацию, но стажировка короткая и доступна только студентам PhD.
?Только для PhD
Современный стек
Научная перспектива
Сильный AI-фокус
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Human-Centered AI Research Intern, Human Language Models (LLM-based human modeling and simulation): Developing research methods to study how language-based generative models represent human intentions, behavior, individual differences, and diverse perspectives with an accent on LLM evaluation, personalization, and computational human modeling. Focus on scoping an independent research project, designing model evaluations, executing experiments with Python and PyTorch, and presenting findings to researchers and Toyota stakeholders.
Location: Los Altos, California, United States; hybrid, in-office role
Salary: $45–$65/hour for California-based roles.
Company
hirify.global develops tools and capabilities in AI, robotics, driving, and material sciences to improve the quality of human life and advance mobility.
What you will do
Scope a research project aligned with the Adaptive Behavior Systems team’s core research efforts.
Drive the technical plan, including problem formulation, model development, and evaluation design, with mentor and team feedback.
Execute the project using TRI resources.
Study how language-based generative models represent human intentions and behavior, including individual differences and diverse human perspectives.
Present the project approach and findings to department, division, TRI, and Toyota business-group stakeholders.
Produce work that informs internal strategy and may be publishable in an academic journal or conference.
Requirements
Current Ph.D. student in AI/ML, computer science, computational social science, or a related field.
Research experience with LLMs and a publication record in relevant topics, including LLM evaluation and benchmarking, personalization and user modeling, LLM post-training and alignment, or computational human modeling.
Experience with Python programming and deep-learning frameworks such as PyTorch.
Interest in human-centered research, such as behavioral science or computational social science.
Excellent communication and teamwork skills.
Culture & Benefits
Paid 12-week Summer 2027 internship with a hybrid, in-office work arrangement.
Interdisciplinary environment spanning machine learning, behavioral sciences, and human-computer interaction.
Medical, dental, and vision insurance.
Paid time off, including holiday pay and sick time.
Collaborative and inclusive workplace focused on human-centered outcomes and purposeful human futures.
Hiring process
Submit a CV with a link to Google Scholar containing a full list of publications.
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