Applied Machine Learning Engineer - Localization
Apple
Summary
Description
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++
Key Qualifications
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)
Education & Experience
Additional Requirements
Pay & Benefits
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. Learn more about your EEO rights as an applicant.