yandex
udemybedi
Страна
Мексика
Зарплата
240 MX$
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
InternГибридКонтракт

Data Science Intern, AI Products

Оценка ИИ

Отличная возможность для старта карьеры в топовой EdTech компании с реальными задачами в области GenAI. Высокая прозрачность оплаты и отличный соцпакет (доступ к курсам, UDay) делают вакансию крайне привлекательной.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Для стажировки требования достаточно высокие: ожидается глубокое понимание алгоритмов ИИ/ML и опыт работы с LLM (prompt engineering, RAG). Однако статус стажера предполагает наличие наставника, что немного снижает общую сложность входа.

Анализ зарплаты

Медиана35 000 MX$
Рынок25 000 MX$ – 45 000 MX$
Оценка ИИ

Предлагаемая ставка 240 MXN в час является фиксированной для всех стажеров Udemy в Мексике. Это соответствует или слегка превышает средние рыночные показатели для интернов в международных технологических компаниях в Мехико.

Сопроводительное письмо

I am writing to express my strong interest in the Data Science Intern position at Udemy. As a student in a STEM discipline with a deep fascination for how Large Language Models can transform the educational landscape, I am eager to contribute to your mission of making learning more personalized and impactful. My background in Python development and my academic focus on machine learning align perfectly with Udemy's goal of building core skills intelligence capabilities.

During my studies, I have developed a solid understanding of NLP and prompt engineering, which I am excited to apply to your LLM data pipelines. I am particularly drawn to Udemy's culture of ownership and continuous learning, and I am confident that my analytical skills and proactive approach will allow me to make a meaningful contribution to your AI Products team. I look forward to the possibility of discussing how my skills can support your efforts in mapping learning activities to skill proficiency.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в udemybedi уже сейчас

Присоединяйтесь к Udemy и создавайте будущее образования с помощью генеративного ИИ уже сегодня!

Описание вакансии

Join Udemy. Help definethe future of learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn more about us on ourcompany page.

**Where we Work**

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. *T**his is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays*.

**About this role**

To support efforts to transform the teaching and learning experience into one that is measurable and skills-first, we are developing a set of core skills intelligence capabilities that leverage generative AI to produce deep understandings and representations of our content and learning activities at Udemy through a skills lens. As the intern supporting this initiative, you will be developing, evaluating, and iterating on algorithms to improve our ability to connect skills to learning activities and measure skill proficiency gains through those learning activities.

**What you'll be doing:**

  • Partnering with supervisor on researching, designing, and evaluating new AI / ML algorithms for mapping learning activities to skills
  • Building LLM data pipelines, prompt and context engineering, and determining optimal content representations for measuring skill proficiency through learning activities

**Ideal candidate will have**

  • Education in computer science, mathematics, statistics or other related analytical (i.e. STEM) disciplines.
  • Deep understanding of AI / ML algorithms (natural language processing a plus) and developing large language model applications (e.g. prompt and context engineering, retrieval, online and offline evaluation, etc.)
  • Strong proficiency in Python, an understanding of best coding practices, and experience developing robust modules
  • Strong verbal and written communication skills in English.

Posting Date:3/04/2026

Application Window: We anticipate the application window will be open until April 13th, 2026.

#LI-VC1

#LI-VC1

At Udemy we strive to be transparent with compensation. With equity and transparency at the forefront of consideration, we offer the same pay rate for all of our internships.

Hourly Pay Range

$240—$240 MXN

Why work here?

You’ll grow here.Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.

AI is real here.We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.

You’ll own your work.We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.

You’ll build with others.We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.

You’ll see your impact.What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?

Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.

Our Benefits Start with U

Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits,India Benefits,Ireland Benefits, Mexico BenefitsTurkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.

Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

Information regarding data privacy is available within theUdemy Careers Privacy Notice.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • Machine Learning
  • Large Language Models
  • Prompt Engineering
  • Data Pipelines
  • Natural Language Processing

Возможные вопросы на собеседовании

Проверка базовых знаний в области NLP, критически важных для работы с контентом Udemy.

Как бы вы подошли к задаче автоматического извлечения ключевых навыков из текстового описания видеокурса?

Вакансия напрямую связана с разработкой приложений на базе больших языковых моделей.

Какие методы оценки качества ответов LLM (online и offline evaluation) вы знаете и какие применили бы для оценки точности определения навыков?

Работа включает построение пайплайнов данных для LLM.

Расскажите о вашем опыте работы с Python: какие библиотеки вы используете для обработки данных и обеспечения чистоты кода?

Важная часть роли — измерение прогресса в обучении.

Как можно использовать генеративный ИИ для создания тестов, которые реально измеряют уровень владения навыком, а не просто знание теории?

Проверка понимания современных техник работы с контекстом.

В чем разница между Zero-shot, Few-shot промптингом и дообучением (fine-tuning) модели для специфической задачи классификации навыков?

Похожие вакансии

ensono
3 466 $

AI Data Scientist Intern 

InternУдалённоСША
Python · R · Scikit-learn · TensorFlow · PyTorch · Machine Learning · Matplotlib · Seaborn · Tableau · Power BI · AWS · Azure · Google Cloud · MLOps
+14 навыков
psiquantum
4 766 $ – 8 146 $

Intern, Software Engineering - Computational Chemistry

InternУдалённоСША
Python · Quantum Computing · Computational Chemistry · HPC · Linux · API Design · Unit Testing · AWS S3 · Linear Algebra · Numerical Methods
+10 навыков
Centicore
400 000 ₽ – 420 000 ₽

MLOps Engineer (ML pipelines / Kubernetes / Airflow)

SeniorУдалённоРоссия
Kubernetes · Airflow · Python · Docker · Helm · Jenkins · GitLab CI · MLflow · JupyterHub · Seldon · CUDA · Hadoop · Spark · Kafka · ELK · LLM · RAG
+17 навыков
Omega Solutions
2 000 ₽ – 2 700 ₽

Senior Data инженер

SeniorУдалённоРоссия
Java · Groovy · Hadoop · ETL · DWH · SQL · Docker · Apache NiFi · Airflow · SAP HANA · Apache Kafka · Apache Iceberg · Python · Go · Linux · Ansible · Zabbix · HDFS · Hive
+19 навыков
Volna.tech
386 000 ₽ – 436 000 ₽

Senior MLOps Engineer (Platform Development / LLMOps)

SeniorУдалённоРоссия
Docker · Helm · Jenkins · GitLab CI · Python · Airflow · JupyterHub · MLflow · Seldon · CUDA · Kubernetes · Hadoop · Spark · Kafka · ELK · LLMOps · RAG
+17 навыков
honehealth
20 $ – 25 $

Data Science Intern (Summer 2026)

InternУдалённоСША
Python · SQL · Pandas · NumPy · Scikit-learn · PySpark · PyTorch · TensorFlow · dbt · Power BI · Looker · Plotly · Statistics · Machine Learning · A/B Testing
+15 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

udemybedi
Страна
Мексика
Зарплата
240 MX$