Language Engineer (English UK), Global Siri

Apple; Barcelona; Presencial; EUR 85.000 - 115.000; Jornada completa

Descripción de la vacante

Apple is seeking an engineer with deep expertise in machine learning or software engineering to shape Siri for English users. You will own end-to-end ML and GenAI initiatives, leveraging LLMs, data generation, and scalable software to deliver highly personalized experiences across global markets.

The role sits at the intersection of ML, data and software engineering, requiring strong coding skills in Python, Swift, Objective-C, C++ or similar, and a track record of production-ready systems.

Formación

• Experience applying machine learning and NLP techniques to deliver products.
• Strong software design and programming skills across paradigms, with production code experience.
• Experience working with data at scale, building or curating datasets and making data-driven decisions.

Responsabilidades

• Lead end-to-end ML/GenAI solutions for Siri in the UK English market.
• Work at the intersection of ML, data and software engineering, using LLMs and data generation methods.
• Collaborate with Apple partner teams to account for international market nuances and ensure native English experience.

Conocimientos

Machine Learning

NLP

Software design

Data at scale

Python

Swift

Objective-C

C++

Educación

MS/PhD in Computer Science or related field

Descripción del empleo

Summary

Play a part in the next revolution of machine learning technology! Siri assists hundreds of millions of people, in dozens of languages, every day, and Global Siri is the team that teaches Siri each one of them.We own the product end-to-end, from Speech Recognition and Natural Language Understanding through to Response. We are looking for an engineer with deep expertise in either Machine Learning or Software Engineering, and practical working knowledge of the other, to shape the future of Siri for English users.Your work will range across multiple disciplines, including employing advanced Large Language Models (LLMs), adopting models for global markets, running data experiments, and engineering scalable software to deliver highly personalized, culturally relevant experiences for our customers.

Description

As a member of our dynamic and fast-paced group, you will play a key role in crafting innovative, end-to-end solutions that delight millions of customers across the globe. You will act as the technical anchor for the UK English speaking market, leading work streams to design and implement large-scale ML and GenAI solutions that advance our customer experience.This position sits squarely at the intersection of Machine Learning, Data, and Software Engineering. Whether you are a strong Software Engineer who has applied ML to production systems, or an ML expert with solid coding skills, you will leverage large language models (LLMs), agentic approaches to tasks, and data generation methods to build real-world systems.You will work with partner teams across Apple, sharing your expertise and bringing architectural proposals that account for international market nuances, so that Siri feels genuinely native to English users.Join us as we build the foundation of Siri AI for users around the world!

Minimum Qualifications

• Professional-level fluency in English, with deep familiarity with the culture and idiom of the United Kingdom or other English-speaking regions.
• Experience in applying machine learning and NLP techniques to deliver products, with a 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 a strong emphasis on end-user experience.
• Experience writing software in Python, Swift, Objective-C, C++ or C; experience on Apple platforms preferred.
• M.S, Ph.D. in Computer Science or a related field, or equivalent practical experience.