Software Engineer - Applied Machine Learning & Localization

Apple Inc.

Cupertino, Northern (CA, KY)

Hybrid

USD 150,000 - 278,000

Full time

38 hours ago
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Job summary

Apple Inc. in Cupertino, CA is seeking a Software Engineer to advance applied ML for localization. You will drive ML tooling and end-to-end translation features across Apple platforms, collaborating with translation, engineering and product teams.

You will translate research into production models, train and fine-tune LLMs, and deploy scalable localization solutions using PyTorch/TensorFlow, Python and Swift. Prior experience in NLP and multilingual software is required.

Qualifications

  • BS/MS/PhD in CS/AI/ML or equivalent experience.
  • Experience with ML, LLMs and NLP.
  • Experience translating research into consumer-facing ML features.
  • Proficiency with Python; Swift; C/C++.

Responsibilities

  • Lead exploration and application of LLMs for translation tasks and localization features.
  • Translate latest research into production-ready systems and models.
  • Engage in model development from ideation to deployment.
  • Collaborate with translation, localization quality, project management and engineering teams.

Skills

Machine Learning
NLP
LLMs
Python
Swift
C/C++
PyTorch

Education

BS/MS/PhD in CS/AI/ML

Tools

PyTorch
TensorFlow

Job description

Software Engineer - Applied Machine Learning & Localization

Cupertino, California, United States Software and Services

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 to create high quality translations across all of Apple’s software products.We are looking for a creative, motivated, and passionate engineer who will work cross-functionally and globally to deliver the next generation of ML tooling and end-user features for international locales.This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), Natural Language Processing (NLP) and Apple software frameworks.

Description
  • Leading the exploration and application of Large Language Models (LLMs) for performing translation tasks and Apple product features
  • Translating the latest research into high-quality systems and models that can be practically applied to further improve machine translation or Apple product features
  • 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 solutions
  • Developing and maintaining features, frameworks and tools to help facilitate the software translation process
Minimum Qualifications
  • BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
  • 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
  • Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow)
  • Strong programming skills in Python, Swift, C or C++
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
  • 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 Apple’s development APIs (SwiftUI, Foundation, etc.)
  • Experience or curiosity in languages and culture
  • Comfortable working cross-functionally and cross-culturally
  • Ability to work in a fast-paced environment with frequent context switching and changing priorities

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.

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