Applied Machine Learning Engineer - Localization
Job in
Cupertino, Santa Clara County, California, 95015, USA
Listed on 2026-11-01
Listing for:
Apple
Full Time
position Listed on 2026-11-01
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Team:
Software and Services
Location:
Cupertino Weekly
Hours:
40
Posted:
Summary The Software Localization team powers the tooling, features and processes used tocreate 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 arobust 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 apassion for this area are required.
Description As an Applied ML Engineer in the Software Localization team, you will join aphenomenal 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, Tensor Flow,OpenNMT)
Strong programming skills in Python, C or C++Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple…
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