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Applied Machine Learning Engineer - Localization
Summary by AIEngineer.careers
Applied Machine Learning Engineer - Localization is a Machine Learning Engineer role (full-time). with Swe. in CUPERTINO, US. Compensation shown: $150K–$278K. Imported listing (source: careers.swe.org). Apply on the employer's site (careers.swe.org).
Imported listing (source: careers.swe.org) · Apply on careers.swe.org
CUPERTINO · US
$150K–$278K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careers.swe.org
Join Apple’s Software Localization team as an Applied Machine Learning Engineer to design and implement localization features, frameworks, and tools across Apple products. You will lead the application of Large Language Models for machine translation, oversee end-to-end model development including training and deployment, and collaborate with cross-functional teams to enhance global user experiences.
Responsibilities
- Design and implement localization features, frameworks, and tools for Apple products
- Lead the application of LLMs for machine translation tasks
- Develop, train, experiment with, and deploy machine learning models
- Collaborate with cross-functional teams to integrate AI-driven localization solutions
Requirements
- MS degree in Computer Science, AI, or related field
- Proven experience with LLMs and Natural Language Processing (NLP)
- Proficiency in Python, Swift, C, or C++
- Strong background in machine learning model development and deployment
Nice to Have
- Experience with large-scale production ML systems
- Familiarity with localization workflows and multilingual data processing
Swe
Cupertino · US · 80000+ employees
Apple designs, develops and sells consumer hardware, software and digital services. Its ecosystem includes products such as iPhone, iPad, Mac, Apple Watch and related platforms and services.
