- Страна
- Мексика
- Зарплата
- 240 MX$
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Data Science Intern, AI Products
Отличная возможность для старта карьеры в топовой международной EdTech компании. Высокий балл обусловлен доступом к передовым технологиям (GenAI), сильной культурой обучения и прозрачной оплатой труда.
Сложность вакансии
Стажировка требует серьезных знаний в области NLP и LLM, а также уверенного владения Python. Основная сложность заключается в необходимости работать с реальными данными и внедрять сложные алгоритмы оценки навыков в продукт мирового уровня.
Анализ зарплаты
Предлагаемая ставка 240 MXN в час является стандартной и конкурентоспособной для интернов в технологических компаниях Мехико. Это соответствует рыночному уровню для позиций начального уровня в международном секторе.
Сопроводительное письмо
I am writing to express my strong interest in the Data Science Intern position for AI Products at Udemy. As a student in a STEM discipline with a deep fascination for how Large Language Models can revolutionize personalized learning, I have closely followed Udemy's transition toward an AI-powered skills acceleration platform. My background in Python development and my academic focus on Natural Language Processing align perfectly with your mission to transform lives through measurable, skills-first learning experiences.
During my studies, I have gained practical experience in prompt engineering and evaluating ML algorithms, which I am eager to apply to Udemy's core skills intelligence capabilities. I am particularly excited about the opportunity to build LLM data pipelines and determine optimal content representations to measure skill proficiency. Your commitment to a "learning is part of the job" culture resonates with my personal drive for continuous improvement and practical AI application.
I am confident that my analytical skills and proactive approach to problem-solving will allow me to contribute meaningfully to your team in Mexico City. Thank you for considering my application; I look forward to the possibility of discussing how my background in AI/ML can support Udemy's innovative AI product roadmap.
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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 Benefits, Turkiye 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.
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Навыки
- Python
- Machine Learning
- Large Language Models
- Statistics
- Prompt Engineering
- Data Pipelines
- Mathematics
- Natural Language Processing
Возможные вопросы на собеседовании
Проверка понимания основ работы с современными языковыми моделями, что является ключевым для данной роли.
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Какие метрики вы бы использовали для оценки точности работы алгоритма, сопоставляющего видеолекции с конкретными профессиональными навыками?
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Опишите случай, когда результаты вашего исследования или модели не оправдали ожиданий. Как вы действовали и какие выводы сделали?
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- Страна
- Мексика
- Зарплата
- 240 MX$