Job 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 MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience) 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++

Requirements

Must-haves

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
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
MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learningaiswiftpython

Platform: apple
Effort: medium