Applied Machine Learning Engineer, Localization

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
7 days ago
Freshness
Confirmed live 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $214k
$135k most similar roles pay here $293k

This role pays less than 58% of similar roles. Most pay $202,412–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 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 a wide variety of products. You will lead the exploration and application of Large Language Models for translation tasks, translating cutting-edge research into high-quality systems while managing model development from ideation through deployment. Your daily work involves building tools and frameworks to facilitate software translation and collaborating with cross-functional teams to improve machine translation. The role requires expertise in Natural Language Processing, Machine Translation, and fine-tuning pre-trained LLMs for downstream tasks. You will utilize technologies including Python, C, C++, Swift, Objective-C, PyTorch, TensorFlow, and OpenNMT. This position addresses the technical challenge of creating high-quality localized experiences for international users by improving machine translation models and developer tools within Xcode.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

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 use.
  • 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 tasks.
  • Implement machine learning solutions to improve localization across Apple products and Xcode.

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).
  • Hands-on experience with fine-tuning approaches, training models, and adapting pre-trained LLMs for downstream tasks.
  • Ability to translate cutting-edge research into high-quality systems and consumer-oriented products.
  • Proficiency in programming languages including Python, C, C++, Objective-C, and Swift.
  • Experience with open-source ML toolkits and frameworks such as PyTorch, TensorFlow, or OpenNMT.
  • Familiarity with localization standards (Unicode, XLIFF, ICU) and experience in software internationalization.
  • Native-level foreign language skills and knowledge of computational linguistics are preferred.

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