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InternГибридКонтракт

AI Research Intern – Wellbeing, Communities & Organizations

Оценка ИИ

Исключительная возможность для стажера поработать в исследовательском подразделении мирового уровня (Toyota). Высокая почасовая оплата, междисциплинарный подход и реальное влияние на благополучие людей делают эту вакансию очень привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Стажировка требует высокого уровня самостоятельности и способности работать в условиях неопределенности. Кандидат должен обладать не только техническими навыками в ML, но и интересом к социальным наукам для решения междисциплинарных задач.

Анализ зарплаты

Медиана9 500 $
Рынок7 800 $ – 11 500 $
Оценка ИИ

Предлагаемая ставка $45–$65 в час полностью соответствует рыночным стандартам для исследовательских стажировок в области ИИ в Кремниевой долине, где медиана составляет около $55 в час.

Сопроводительное письмо

I am writing to express my strong interest in the AI Research Intern position within the Harmonious Communities team at Toyota Research Institute. With a solid foundation in Python and machine learning, complemented by a deep interest in how AI can be leveraged to understand complex human systems, I am drawn to TRI’s mission of amplifying the human experience. My academic background has prepared me to tackle open-ended research questions, and I am particularly excited about the prospect of applying causal inference and agent-based modeling to improve collective wellbeing.

During my previous projects, I have developed a knack for working with unstructured data and building models that uncover hidden patterns in social dynamics. I am eager to bring my interdisciplinary mindset to TRI and collaborate with your team of behavioral scientists and ML researchers. I am confident that my proactive approach to research and my passion for human-centered AI will allow me to make meaningful contributions to your ongoing initiatives during this 12-week internship.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

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Присоединяйтесь к Toyota Research Institute и создавайте будущее ИИ для благополучия людей — подайте заявку на стажировку сегодня!

Описание вакансии

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

This is a paid 12-week internship opportunity and is a hybrid, in-office role.

Here’s a glimpse into the Internship experience from some of our TRI interns!

The Mission

Within TRI’s Human-Centered AI Division, the Harmonious Communities team aims to understand and improve wellbeing in complex systems such as workplaces, organizations, and communities. Our goal is to develop new ways of measuring, modeling, and shaping wellbeing—leveraging AI to support better outcomes at both individual and collective levels.

The Challenge

Wellbeing in real-world systems is complex, and shaped by interactions across individuals, teams, and environments. Many drivers are difficult to observe, measure, or model, and traditional approaches often fail to capture these dynamics. We are exploring how AI—combined with systems thinking—can help uncover hidden patterns, identify key drivers, and enable the design of interventions or system changes that improve outcomes at scale.

The Team

The Harmonious Communities team is an interdisciplinary group of machine learning researchers, behavioral scientists, and human-computer interaction experts. We work across fields to study how wellbeing emerges, evolves over time, and can be influenced through organizational structures, technologies, and policies. Our work connects fundamental research with real-world impact within Toyota.

The Opportunity

We are looking for a creative and self-driven intern to explore how AI can be used to better understand and improve wellbeing in human systems. This is an open-ended, research-oriented internship where the project will be shaped collaboratively based on your interests and ideas. You will have the opportunity to propose and develop novel approaches, including machine learning, causal learning, natural language processing, or agent-based simulations, to study complex social systems.

Responsibilities

  • Formulate and explore research questions related to wellbeing in organizations and communities.
  • Work with real or simulated datasets to uncover patterns, relationships, and insights.
  • Develop models, simulations, or analytical tools using AI/ML methods.
  • Explore approaches such as causal inference, agent-based modeling, or LLM-based analysis where appropriate.
  • Communicate findings through reports, visualizations, or lightweight prototypes.
  • Collaborate with an interdisciplinary team and incorporate feedback into your work.

Qualifications

  • Demonstrated experience developing AI/ML tools or systems.
  • Proficiency in Python and common data science or machine learning libraries.
  • Strong problem-solving skills and ability to work in open-ended, ambiguous settings.
  • Interest in applying AI to human-centered, real-world problems.

Bonus Qualifications

  • Experience with causal inference, probabilistic modeling, or time-series analysis.
  • Experience with NLP, LLMs, or working with unstructured text data.
  • Familiarity with agent-based simulations or complex systems modeling.
  • Background or interest in social sciences such as psychology, sociology, or organizational behavior.
  • Strong interest in creative, unconventional, or underexplored research directions.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

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Навыки

  • Python
  • Machine Learning
  • Large Language Models
  • Natural Language Processing
  • Data Science
  • Causal Inference
  • Time Series Analysis
  • Probabilistic Modeling
  • Agent-based Modeling

Возможные вопросы на собеседовании

Проверка способности применять технические навыки к основной миссии команды.

Как бы вы использовали агентное моделирование для оценки влияния политики удаленной работы на благополучие сотрудников в крупной организации?

Оценка понимания причинно-следственных связей, что указано в бонусах.

В чем разница между корреляцией и причинно-следственной связью при анализе данных опросов о вовлеченности сотрудников?

Проверка навыков работы с современными инструментами ИИ.

Как можно использовать большие языковые модели (LLM) для анализа качественных данных о социальной динамике в сообществе?

Оценка гибкости мышления и исследовательского подхода.

Опишите случай, когда вы столкнулись с неоднозначной исследовательской задачей. Как вы структурировали свой подход?

Проверка владения основным стеком.

Какие библиотеки Python вы бы выбрали для обработки временных рядов данных о состоянии здоровья и почему?

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tri
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США
Зарплата
45 $ – 65 $