Applied Machine Learning Engineer - Localization

Job description

The Software Localization team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the Localization workflows in Xcode, framework-level Localization support, localized OS features, and internal Localization tools used for high quality Localization across all of Apple’s products. We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required. Minimum Qualifications: MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience) Preferred Qualifications: Experience in software Localization / internationalization Familiarity with Localization standards and technologies (Unicode, XLIFF, ICU, etc.) Native-level foreign language skills in reading, writing and speaking Experience in scripting languages (e.g. bash, Ruby, Perl) Knowledge of Computational Linguistics Published research in the field of Machine Learning or AI Experience using Xcode to build software for Apple’s platforms Proficiency with Objective-C and Swift programming languages Proficiency with Apple’s development APIs (SwiftUI, Foundation, etc.) Experience or curiosity in languages and culture Comfortable working cross-functionally and cross-culturally Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT) Strong programming skills in Python, C or C++