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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.\\n\\nThe 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.\\n\\nWe are looking for an experienced product-minded engineer with a strong Software Engineering and/or Machine Learning background to join our team and shape the future of Siri. 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.\n\nYou 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. Native speaker fluency in Swedish and awareness of Swedish culture.\nExperienced in applying machine learning and NLP techniques to deliver products, with a solid understanding of ML concepts relevant to the Swedish language.\nStrong skills in object-oriented software design and programming, and experience with working on large code bases.\nAbility to analyze data and make data-driven decisions to improve user experience for the Swedish market. * Product-focused mindset with a strong emphasis on end-user experience.\nCollaborative mindset and adaptable attitude, thriving in fast-changing environments.\nExperience in LLM prompting and fine-tuning, in particular targeting specific internationalization challenges.\nExperience with training and evaluating Large Language Models (LLMs) and building scalable workflows leveraging them.\nProficiency in multiple programming languages such as Python, Swift, Rust, C++, or Go.\nM.Sc. in Computer Science or related field, or equivalent experience.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
