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Language Engineer (Mexican Spanish), Global Siri

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Onsite

Language Engineer (Mexican Spanish), Global Siri

Apple

Language Engineer (Mexican Spanish), Global Siri

Skills

Machine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Barcelona, Spain

Work mode:

Onsite

Published on:

2 September 2026

What they need


Summary Play a part in the next revolution of machine learning technology! Create groundbreaking technology for large scale systems, spoken language and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking.

Come and join the team that teaches Siri how to understand and speak new languages. We at Global Siri are passionate to build the future of intelligent assistants. We are looking for a Software Engineer with a strong Machine Learning background to join our team shaping the future of Siri in Global markets by integrating latest ML developments into Apple Intelligence and Siri AI.

As part of this group, your work will range across different disciplines, this involves employing advanced machine learning models, adopting models in global markets, data generation experiments while also being focused on the integration of personalized experiences to each of our customers.

Description As a member of our dynamic and fast-paced group, you'll play a key role in crafting and bringing to life innovative solutions that delight millions of customers across the globe. You will lead work streams to design and implement large-scale ML solutions integrating latest state of the art research in our global products to advance our customer experience. While collaborating with partner teams across Apple, you'll contribute by sharing your experience, delivering architectural proposals that account for international market needs, and maintaining an ethos of continual learning from your counterparts.

This position is at the intersection of Machine Learning and Software Engineering. The ideal candidate will have expertise with large language models, agentic approach to tasks, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.

Join us as we navigate the forefront of the language processing evolution!

Minimum Qualifications

  • Professional-level fluency in Mexican Spanish, with deep familiarity with the culture and idiom of Mexico or other Latin American Spanish-speaking regions.
  • Proven experience in applying machine learning and NLP techniques to deliver products, with a solid understanding of ML concepts
  • Strong skills in object-oriented software design and programming, and experience with working on large code bases
  • M.S, Ph.D. in Computer Science or a related field, or equivalent experience

Preferred Qualifications

  • Ability to analyze data and make data-driven decisions to improve user experience for the Spanish speaking market
  • Good understanding of Data Generation Approaches, LLM fine-tuning, and optimization
  • Ability to formulate a research problem, design, experiment, implement and communicate solutions.
  • Product-focused with a strong emphasis on end-user experience.
  • Experience writing software in Swift, Objective-C, C++ or C; experience on Apple platforms preferred

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200680115-0215

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