Localization ML Engineer — LLM & MT Innovation

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino is seeking an Applied Machine Learning Engineer focused on Localization. The role involves designing, implementing, and qualifying localization features across Apple products, leveraging LLMs, NLP, and MT to improve translations for international users.

You will work with cross-functional teams to architect ML tooling, refine localization workflows in Xcode, and advance end-user localization experiences. Strong coding skills in Python and C/C++ are essential.

Qualifications

• MS in CS, AI, or ML (or equivalent)
• Experience with LLMs, NLP, and MT applications
• Strong software development fundamentals
• Familiarity with localization standards (Unicode, XLIFF, ICU)

Responsibilities

• Leading the exploration and application of Large Language Models (LLMs) for performing translation tasks
• Translating the latest research into high-quality systems and models for practical MT applications
• Actively engaging in model development from ideation to deployment
• Collaborating with translation, Localization quality, project management and engineering teams to develop ML solutions
• Developing and maintaining features, frameworks and tools to facilitate the software translation process
• Experience with ML, focusing on LLMs and NLP
• Proven ability to apply cutting-edge research to consumer products
• Fine-tuning approaches and training models for localization tasks
• Adapting pre-trained LLMs for downstream tasks

Skills

LLMs

NLP

Python

C/C++

Swift

Xcode

PyTorch

TensorFlow

OpenNMT

Localization

Education

MS in Computer Science, AI, or ML (or equivalent)

Tools

OpenNMT

PyTorch

TensorFlow

Xcode

Swift

Job description

Apple Inc. in Cupertino is seeking an Applied Machine Learning Engineer focused on Localization. The role involves designing, implementing, and qualifying localization features across Apple products, leveraging LLMs, NLP, and MT to improve translations for international users.

You will work with cross-functional teams to architect ML tooling, refine localization workflows in Xcode, and advance end-user localization experiences. Strong coding skills in Python and C/C++ are essential.