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Language Engineer
hace 2 semanas
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.
We 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.
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 Qualifications
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.
