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Apple Applied Machine Learning Engineer - Localization United States, California, Cupertino 171667813
31.08.2024
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++
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
- BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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