Applied Machine Learning Engineer - Localization

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

Benefits offered by this job

Medical & Dental benefits

Employee stock programs

Retirement benefits

Job summary

Apple Inc. is seeking an Applied Machine Learning Engineer for Localization in Cupertino. You will design and qualify localization features across Apple products, focusing on ML models and machine translation within Xcode's localization workflow.

You will lead end-to-end model development, training, experimentation and deployment while collaborating across translation, quality, project management and engineering teams to deliver world-class localization tooling.

Qualifications

• MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).
• Strong background in ML, NLP and large language models.
• Experience translating research into production-ready ML systems.

Responsibilities

• Lead exploration and application of LLMs for translation tasks.
• Develop and deploy ML models for localization workflows.
• Collaborate with localization, quality, PM and engineering teams to implement ML solutions.

Skills

LLMs

NLP

Python

C/C++

Machine learning

Python programming

Text processing

Fine-tuning

Education

MS in Computer Science/AI/ML

Tools

Xcode

PyTorch

TensorFlow

OpenNMT

Job description

Applied Machine Learning Engineer - Localization

Cupertino, California, United States Software and Services

The Software Localization team powers the tooling, features and processes used tocreate an exceptional localized experience for Apple’s international customers. We areresponsible for the Localization workflows in Xcode, framework-level Localizationsupport, localized OS features, and internal Localization tools used for high qualityLocalization across all of Apple’s products.

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 machinetranslation. Your role is to ensure Apple and third-party developers using Xcode candeliver world-class software products to millions of users around the world.

• Leading the exploration and application of Large Language Models (LLMs) forperforming translation tasks
• Translating the latest research into high-quality systems and models that can bepractically 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 andengineering teams to develop and implement machine learning solutions
• Developing and maintaining features, frameworks and tools to help facilitate thesoftware translation process
• Experience with Machine Learning (ML), with a particular emphasis on LargeLanguage Models (LLMs) and Natural Language Processing (NLP)
• Proven ability to comprehend, interpret, and apply cutting-edge research intoconsumer-oriented products
• Comprehensive knowledge and hands-on experience with fine-tuning approachesand 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++

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.