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Apple Applied Machine Learning Engineer - Localization United States, California, Cupertino 900267894
06.05.2025
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- Leading the exploration and application of Large Language Models (LLMs) forperforming translation tasks- Translating the latest research into high-quality systems and models that can bepractically applied to to further improve machine translation- Actively engaging in all aspects of model development, from ideation, training,experimentation to deployment.- Developing and maintaining features, frameworks and tools to help facilitate thesoftware translation process- Experience with Machine Learning (ML), with a particular emphasis on LargeLanguage Models (LLMs) and Natural Language Processing (NLP)- Proven ability to comprehend, interpret, and apply cutting-edge research intoconsumer-oriented products- Comprehensive knowledge and hands-on experience with fine-tuning approachesand 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++
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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