Internationalization Engineering Manager - 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, and highly technical manager to lead the ML engineering team that delivers the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc).\\n\\nYou will be a creative, motivated, leader with excellent communication skills who is passionate about Apple's products and the international customer experience. As a hands-on engineering manager, you possess the deep technical fluency required to step into the role of your engineers if needed, yet you can also easily step out to see the big picture. You bring a robust understanding of large language models (LLMs), internationalization, Apple software, models, and frameworks, combined with the people skills required to mentor, grow, and empower a high-performing engineering team.

In this Engineering Manager role, you will lead a phenomenal team of talented ML engineers to build and evaluate international features, processes and tooling across a wide variety of Apple's products.\n\nWe are looking for an exceptional candidate to architect the future of international intelligence features while growing the engineers who will build it. Your role is to define the strategic bigger picture, manage the day-to-day execution, and ensure we build features that surprise and delight our international customers, all while remaining technically close enough to write code, review architectures, and prototype alongside your team.\n\nYour duties include:\n\n- Recruiting, managing, and mentoring a high-performing team of International Engineering Leads and Applied ML Engineers, fostering a culture of technical excellence, collaboration, and psychological safety.\n- Acting as a hands-on technical leader, capable of architecting solutions, writing code, training models, and stepping into IC roles as needed to unblock the team and drive projects forward.\n- Defining the strategic roadmap and driving the internationalization of Apple's intelligence features in close partnership with your team and cross-functional feature partners.\n- Conducting regular 1-on-1s, guiding career development, and providing actionable feedback and coaching to help your engineers grow and multiply their impact.\n- Guiding your ML Engineers in the exploration and application of Large Language Models (LLMs) for performing localization and internationalization tasks and tooling.\n- Regularly assessing feature internationalization readiness and progress, and reviewing statistical evaluation results to drive improvements across locales.\n- Authoring crisp weekly executive status reports, and representing the international engineering team in senior leadership meetings.\n- Advocating for the international customer and international ML best practices in recurring cross-functional and leadership meetings.\n- Facilitating communication between your team, project managers, and feature teams to seek efficiencies and drive shared best practices, tooling, and data between intelligence features.\n- Engaging deeply in all aspects of intelligence feature engineering alongside your team-from ideation, prototyping, training, experimentation, and statistical evaluation, to functional on-device qualification and shipping.\n

BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).\nProven experience managing, mentoring, and growing software engineering or applied machine learning teams.\nDemonstrated ability to act as a hands-on technical manager with strong programming skills in Python, Swift, C or C++, capable of performing rigorous code and architecture reviews.\nExperience leading large cross-functional software engineering projects that have significant international impact.\nDeep technical experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs)\nProven ability to understand, interpret, and apply cutting-edge research to consumer-oriented products, and to guide your team in doing the same.\nHigh emotional intelligence (EQ) with strong people management skills\nExperience influencing cross-functional and cross-culturally partners at multiple levels of an organization, including senior leadership.\nAbility to lead in a fast-paced environment with frequent context switching and changing priorities.

Prior experience managing a blended team of Software Engineers and Machine Learning Engineers/Researchers.\nDeep experience in software localization / internationalization at scale.\nExperience adapting pre-trained LLMs for downstream tasks and deploying them to production.\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.