Applied Machine Learning Engineer - Localization

The Software Localization team powers the tooling, features and processes used to

create an exceptional localized experience for Apple's international customers. We are

responsible for the Localization workflows in Xcode, framework-level Localization

support, localized OS features, and internal Localization tools used for high quality

Localization across all of Apple's products.

We are in search of a creative, motivated, and passionate technical leader who has a

robust understanding of large language models (LLMs), generative AI, Natural

Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the

ability to lead diverse cross-functional efforts to build the next generation of ML tooling

and end-user features for international locales. Strong engineering fundamentals and a

passion for this area are required.

Description

As an Applied ML Engineer in the Software Localization team, you will join a

phenomenal team of passionate engineers to design, implement and qualify

Localization features across a wide variety of Apple's products. We are looking for an

exceptional candidate to help architect the future of localizing ML models and machine

translation. Your role is to ensure Apple and third-party developers using Xcode can

deliver world-class software products to millions of users around the world. Your duties

include:

- Leading the exploration and application of Large Language Models (LLMs) for

performing translation tasks

- Translating the latest research into high-quality systems and models that can be

practically applied to to further improve machine translation

- Actively engaging in all aspects of model development, from ideation, training,

experimentation to deployment.

- Collaborating with translation, Localization quality, project management and

engineering teams to develop and implement machine learning solutions

- Developing and maintaining features, frameworks and tools to help facilitate the

software translation process

- 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

Minimum Qualifications

MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)

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

Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow,

OpenNMT)

Strong programming skills in Python, C or C++