Language Engineer (Norwegian), Global Siri

Apple Inc.; Bellprat; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

Apple Inc. in Barcelona, Spain is seeking an engineer to shape Siri for Norwegian users, bridging ML and software engineering with production systems.

You will lead end-to-end ML/GenAI initiatives, collaborating across teams to deliver culturally resonant experiences, and drive architectural proposals for international markets.

Formación

• Professional-level fluency in Norwegian with deep familiarity with Norwegian culture.
• Experience applying ML 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.

Responsabilidades

• Lead work streams to design and implement large-scale ML and GenAI solutions for Siri in the Norwegian market.
• Act as technical anchor for the Norwegian market, coordinating across teams and architectures.
• Collaborate with partner teams across Apple to ensure solutions are native to Norwegian users.
• Leverage LLMs, agentic approaches, and data generation methods to build real-world systems.

Conocimientos

Norwegian fluency

ML concepts

Software design & programming

Data at scale

Descripción del empleo

Barcelona, Barcelona, Spain Machine Learning and AI

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 Norwegian 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 Norwegian 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 Norwegian users. Join us as we build the foundation of Siri AI for users around the world!

Minimum Qualifications

• Professional-level fluency in Norwegian, with deep familiarity with the culture and idiom of Norway.
• 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.