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.
Description
As an Applied ML Engineer in the Software Localization team, you will join a
phenomenal team of passionate engineers to design, implement and qualify
Localization features across a wide variety of Apple's products. We are looking for an
exceptional candidate to help architect the future of localizing ML models and machine
translation. Your role is to ensure Apple and third-party developers using Xcode can
deliver world-class software products to millions of users around the world. Your duties
include:
- Leading the exploration and application of Large Language Models (LLMs) for
performing translation tasks
- Translating the latest research into high-quality systems and models that can be
practically applied to to further improve machine translation
- Actively engaging in all aspects of model development, from ideation, training,
experimentation to deployment.
- Collaborating with translation, Localization quality, project management and
engineering teams to develop and implement machine learning solutions
- Developing and maintaining features, frameworks and tools to help facilitate the
software translation process
- Experience with Machine Learning (ML), with a particular emphasis on Large
Language Models (LLMs) and Natural Language Processing (NLP)
- Proven ability to comprehend, interpret, and apply cutting-edge research into
consumer-oriented products
- Comprehensive knowledge and hands-on experience with fine-tuning approaches
and training models
- Experience adapting pre-trained LLMs for downstream tasks
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++
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: e7f74ca5210574a564306c346b88a21b
- Posted 1 day ago
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