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Join Apple's Global Siri team as a Language Engineer focused on Spanish. You will play a key role in crafting innovative, end-to-end solutions that delight millions of customers globally. This position sits at the intersection of Machine Learning, Data, and Software Engineering, where you will act as the technical anchor for the Spanish market, leading work streams to design and implement large-scale ML and GenAI solutions.
Your work will range across multiple disciplines: employing advanced Large Language Models (LLMs), adapting models for global markets, running data experiments, and engineering scalable software to deliver highly personalized, culturally relevant experiences. You will leverage LLMs, agentic approaches, and data generation methods to build real-world systems. You will work with partner teams across Apple, sharing expertise and bringing architectural proposals that account for international market nuances, ensuring Siri feels genuinely native to Spanish users.
Whether you are a strong Software Engineer who has applied ML to production systems, or an ML expert with solid coding skills, you will contribute to building the foundation of Siri AI for users around the world.
REQUIREMENTS:
Minimum Qualifications:
- Professional-level fluency in Spanish with deep familiarity with the culture and idiom of Spain or other Spanish-speaking regions
- Experience applying machine learning and NLP techniques to deliver products, with solid understanding of ML concepts
- Strong skills in software design and programming across different paradigms, including testing and maintainability, with experience contributing to large production code bases
- Experience working with data at scale, including building or curating datasets, analyzing results, and making data-driven decisions
Preferred Qualifications:
- Hands-on experience with large language models: fine-tuning, prompt and context engineering, evaluation, and inference optimization, including agentic systems, tool calling, or retrieval-augmented generation
- Experience with speech technologies such as ASR, TTS, or pronunciation modeling
- Experience adapting models or products across languages and markets — multilingual and cross-lingual modeling, transfer learning, or low-resource settings
- Ability to formulate a research problem, design, experiment, implement and communicate solutions
- Product focus with strong emphasis on end-user experience
- Experience writing software in Python, Swift, Objective-C, C++ or C; experience on Apple platforms preferred
- M.S. or Ph.D. in Computer Science or related field, or equivalent practical experience
