International Engineering Lead - Intelligence Features

The International Intelligence Engineering team powers the tooling, features and processes used to create an exceptional international experience across Apple's intelligence features for 100s of millions of our global customers and devices.\\n\\nWe are looking for an experienced, motivated, technical and passionate international ML engineering leader who will drive, coordinate and deliver the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc).\\n\\nThis person will be a creative, motivated, technical leader with excellent communication skills who is passionate about Apple's products and the international customer experience. This person also has a robust understanding of large language models (LLMs), Internationalization and Apple software, Models and Frameworks.

As an International Engineering Lead, you will join a phenomenal team of passionate engineers and project managers to engineer, implement and evaluate international features, processes and tooling across a wide variety of Apple's products.\n\nWe are looking for an exceptional candidate to help architect the future of international intelligence features. Your role is to focus on the bigger picture and ensure we build the best globally relevant features possible.\nYour duties include:\n\n- Collaborating with feature teams to own and drive the international customer experience for intelligence features\n- Providing leadership to, and helping to direct the work of team members (Engineers, Project Managers, Language Experts, Quality Engineers, etc) who will work hand-in-hand with you to drive and deliver the international customer experience\n- Regularly assessing feature internationalization readiness and progress\n- Authoring weekly executive status, and representing international engineering in leadership meetings\n- Reviewing and driving statistical eval result improvements across locales\n- Advocating for the international customer and international ML best practices in recurring cross-functional and leadership meetings\n- Regularly communicating with other International Engineering Leads and project managers to seek efficiencies, drive shared best practices, tooling and data, between intelligence features\n- Building tools and prototypes to help drive Intelligence features forward at scale\n- Working to improve evaluation process and tooling\n- Leading the exploration and application of Large Language Models (LLMs) for performing localization and internationalization tasks and tooling, in service of a great customer experience.\n- Actively engaging in all aspects of intelligence feature engineering, from ideation, prototyping, training, experimentation, statistical evaluation, functional on-device qualification, through shipping.\n- Mentoring other engineers and colleagues

BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)\nExperience leading large cross-functional software engineering projects that have significant international impact\nExperience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)\nProven ability to understand, interpret, and apply cutting-edge research to consumer-oriented products\nExperience influencing cross-functional and cross-culturally partners at multiple levels of an organization, including senior leadership \nExperience writing crisp and effective executive status updates\nProficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow)\nFluency in using Generative AI tools to multiply your impact, build prototypes, data pipelines, and to scale workflows\nStrong programming skills in Python, Swift, C or C++\nAbility to work in a fast-paced environment with frequent context switching and changing priorities

Experience in software localization / internationalization\nExperience adapting pre-trained LLMs for downstream tasks\nExperience using GenAI to prototype solutions and data sets\nFamiliarity with localization standards and technologies (Unicode, XLIFF, ICU, etc.)\nNative-level foreign language skills in reading, writing and speaking\nKnowledge of Computational Linguistics\nExperience using Xcode to build software for Apple's platforms\nProficiency with Apple's development APIs (SwiftUI, Foundation, etc.)\nDeep understanding of languages and culture outside your own\n