Applied Machine Learning Engineer, Localization

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
53 days ago
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Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $233k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays less than 58% of similar roles. Most pay $210,600–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $233k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Applied Machine Learning Engineer, Localization

As an Applied Machine Learning Engineer - Localization, you will join the Software Localization team to design, implement, and qualify localization features across various products. You will lead the exploration and application of Large Language Models for translation tasks, translating research into high-quality systems and models. Your daily responsibilities include engaging in all aspects of model development, from ideation and training to deployment, while collaborating with cross-functional teams to develop frameworks and tools for the software translation process. You will utilize skills in Natural Language Processing, Machine Translation, and fine-tuning approaches. The role requires proficiency in Python, C, C++, Swift, and Objective-C, along with experience using open-source ML toolkits like PyTorch, TensorFlow, and OpenNMT to solve complex internationalization and localization problems.

What you'll do

  • Lead the exploration and application of Large Language Models (LLMs) for translation tasks.
  • Translate cutting-edge research into high-quality systems and models for practical machine translation.
  • Manage all aspects of model development including ideation, training, experimentation, and deployment.
  • Develop and maintain features, frameworks, and tools to facilitate the software translation process.
  • Adapt pre-trained LLMs for specific downstream localization tasks.
  • Implement machine learning solutions to improve localization for Xcode and other Apple products.
  • Fine-tune and train models to improve the quality of internationalized software.

What we're looking for

  • MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience).
  • Experience with Machine Learning, specifically Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
  • Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products.
  • Experience adapting pre-trained LLMs for downstream tasks.
  • Experience in software Localization / internationalization (preferred).
  • Familiarity with Localization standards and technologies such as Unicode, XLIFF, and ICU (preferred).
  • Proficiency with Python, C, C++, Objective-C, and Swift programming languages (preferred).

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