ppGlobal Product Experience team creates groundbreaking user experiences across Siri markets. 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. As part of this group, you will work in one of the most exciting environments with state-of-the-art machine learning (ML) and AI models applied to production problems. We build machine learning (ML) technologies that scale to all Siri languages. You will have the opportunity to innovate with large-scale AI models to help Siri better understand and converse in different languages. /ph3Description /h3pIn Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As an ML engineer in Integral Siri, you will help us build and apply ML solutions to scale new features across different languages and modalities. You should be able to work with large scale systems, write high quality code, work effectively with agentic AI tools, and be comfortable in contributing to existing systems and developing new ones. A collaborative and communicative attitude is required to coordinate work across multiple teams. /ppWe're looking for a self-starting, proactive individual with excellent written and communication skills, a hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, we'd love to hear from you. /ph3Responsibilities /h3ulliWork on cutting-edge technology at the intersection of agents,



multilinguality and multimodality /liliUnderstand how LLMs learn and transfer capabilities across languages and modalities /liliIndependently design and execute modeling experiments to validate training methodologies and model architectures /liliDevelop mechanisms to automate data creation and data filtering across different languages /liliDevise automated approaches to evaluate and improve the performance of agents across multiple languages and modalities /liliBuild and ship ML based products at high quality for worldwide Apple customers /li /ulh3Minimum Qualifications /h3ulliExpertise in innovating with large-scale AI models (text, speech, and/or vision), in-depth knowledge of the latest advancements in the field and a deep understanding of LLM training, prompting, and fine-tuning. /liliExperience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages. /liliProficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX. /liliExcellent interpersonal skills; happy to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment. /li /ulh3Preferred Qualifications /h3ulliMS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field. /liliExperience with multilingual and multimodal LLMs. /liliExperience with or strong interest in agents, tool-use, planning and multi-step reasoning. /liliExperience shipping production grade ML or DL based applications. /liliOptionally experience with building on-device software and models. /li /ulpAt 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. /ppAt 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. /ppLearn about accessibility in Apple’s workplace /ppRole Number: /p /p #J-18808-Ljbffr

📌 Multimodal Machine Learning Engineer, Global Siri (Barcelona)
🏢 Apple
📍 Barcelona