Localization ML Engineer: LLMs & MT for Global Reach

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple’s Software Localization team seeks an Applied ML Engineer to shape localization tooling and ML models across Xcode and OS features. You will translate research into practical systems, lead end-to-end development from ideation to deployment, and collaborate with localization quality, project management, and engineering teams.

Requirements include MS in CS/AI/ML, strong background in LLMs, NLP, and MT; experience with PyTorch/TensorFlow/OpenNMT; proficiency in Python and C/C++; familiarity

Qualifications

• MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).
• Strong background in Large Language Models (LLMs), NLP and machine translation.
• Experience applying research to consumer-oriented ML features and localization tooling.

Responsibilities

• Lead exploration and application of LLMs for translation tasks.
• Translate research into high-quality localization systems and models.
• Develop and maintain ML features, frameworks and tools to facilitate software translation.

Skills

LLMs

NLP

ML tooling

Python

C/C++

bash/Ruby/Perl

Education

MS in Computer Science/AI/ML

Tools

PyTorch

TensorFlow

OpenNMT

Xcode

SwiftUI

Python

C/C++

Job description

Apple’s Software Localization team seeks an Applied ML Engineer to shape localization tooling and ML models across Xcode and OS features. You will translate research into practical systems, lead end-to-end development from ideation to deployment, and collaborate with localization quality, project management, and engineering teams.

Requirements include MS in CS/AI/ML, strong background in LLMs, NLP, and MT; experience with PyTorch/TensorFlow/OpenNMT; proficiency in Python and C/C++; familiarity