Applied Machine Learning Engineer - Localization Cupertino, California, United States Machine Learning and AI 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 Minimum Qualifications 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 Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT) Strong programming skills in Python, C or C++ BS, MS or PhD 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 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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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