2 months ago
Responsibilities
- Lead exploration and application of large language models for translation tasks.
- Translate current research into practical, high-quality machine translation systems and models.
- Participate in model ideation, training, experimentation, fine-tuning, and deployment.
- Collaborate with translation, localization quality, project management, and engineering teams.
- Develop and maintain localization features, frameworks, and tools for software translation.
- Help architect localization approaches for machine learning models and machine translation.
Requirements
- MS in Computer Science, Artificial Intelligence, or Machine Learning, or equivalent experience.
- Experience with machine learning, especially large language models and natural language processing.
- Hands-on experience fine-tuning and training models and adapting pretrained LLMs for downstream tasks.
- Ability to apply cutting-edge research to consumer-oriented products.
- Strong programming skills in Python, C, or C++.
- Preferred experience includes software localization or internationalization and familiarity with Unicode, XLIFF, ICU, and related localization technologies.
- Preferred qualifications include scripting with bash, Ruby, or Perl; computational linguistics knowledge; published ML or AI research; and native-level foreign-language reading, writing, and speaking skills.
- Preferred Apple-platform experience includes Xcode, Objective-C, Swift, SwiftUI, and Foundation.
- Preferred familiarity with open-source ML toolkits and frameworks such as PyTorch, TensorFlow, and OpenNMT.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.