Language Engineer (Swedish), Global Siri

Summary The Global Siri team teaches Siri how to understand and speak new languages using machine learning (ML), natural language processing (NLP), and modern software development.We work hard to deliver the best user experiences and language technologies powered by Apple Intelligence to our customers across the world.The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices!We work in one of the most exciting environments with pioneering LLMs, ML, and NLP models applied to production problems.We build state-of-the-art technologies that scale to all Siri languages.As part of this group, you will have an opportunity to imagine and build products and features that delight our customers every day, worldwide.Description We are responsible for the end-to-end user experiences of Global Siri.As a Language Engineer for Siri in Swedish, your focus will span across all components of our products.Through data-driven analysis, you will identify target areas and build up the technical understanding to create meaningful contributions.You will partner with core component teams to design and structure innovations for global markets that process millions of requests a day.You will implement them, iterating on a solution both independently as well as in a collaborative environment.You will share your expertise and mentor others, while continuously learning from colleagues.Excellent communication skills will be required to convey ideas clearly and coordinate work across multiple teams.Minimum QualificationsNative speaker fluency in Swedish and awareness of Swedish culture.Experienced in applying machine learning and NLP techniques to deliver products, with a solid understanding of ML concepts relevant to the Swedish language.Strong skills in object-oriented software design and programming, and experience with working on large code bases.Ability to analyze data and make data-driven decisions to improve user experience for the Swedish market.Preferred QualificationsProduct-focused mindset with a strong emphasis on end-user experience.Collaborative mindset and adaptable attitude, thriving in fast-changing environments.Experience in LLM prompting and fine-tuning, in particular targeting specific internationalization challenges.Experience with training and evaluating Large Language Models (LLMs) and building scalable workflows leveraging them.Proficiency in multiple programming languages such as Python, Swift, Rust, C++, or Go.M.Sc.in Computer Science or related field, or equivalent experience.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: ****#J-***-Ljbffr

Native speaker fluency in Swedish and awareness of Swedish culture. Experienced in applying machine learning and NLP techniques to deliver products, with a solid understanding of ML concepts relevant to the Swedish language. Strong skills in object-oriented software design and programming, and experience with working on large code bases. Ability to analyze data and make data-driven decisions to improve user experience for the Swedish market. Preferred Qualifications Product-focused mindset with a strong emphasis on end-user experience. Collaborative mindset and adaptable attitude, thriving in fast-changing environments. Experience in LLM prompting and fine-tuning, in particular targeting specific internationalization challenges. Experience with training and evaluating Large Language Models (LLMs) and building scalable workflows leveraging them. Proficiency in multiple programming languages such as Python, Swift, Rust, C++, or Go. M.Sc. in Computer Science or related field, or equivalent experience.

Madrid, España

Summary The Global Siri team teaches Siri how to understand and speak new languages using machine learning (ML), natural language processing (NLP), and modern software development. We work hard to deliver the best user experiences and language technologies powered by Apple Intelligence to our customers across the world. The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices! We work in one of the most exciting environments with pioneering LLMs, ML, and NLP models applied to production problems. We build state-of-the-art technologies that scale to all Siri languages. As part of this group, you will have an opportunity to imagine and build products and features that delight our customers every day, worldwide. Description We are responsible for the end-to-end user experiences of Global Siri., 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: ****** #J-*****-Ljbffr