Senior Applied ML Engineer, Apple Services Localization Engineering

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$201,300–$302,200 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $252k
$156k most similar roles pay here $318k

This role pays more than 89% of similar roles. Most pay $192,100–$249,750 — the shaded band above. At the midpoint, this role pays about $252k versus about $221k 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 1848 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1511 roles with salary data.

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At a glance

TL;DR · Senior Applied ML Engineer, Apple Services Localization Engineering

As a Senior Applied ML Engineer at Apple Services Localization Engineering, you will join a dynamic team dedicated to expanding global product reach through cutting-edge machine learning and translation technologies. Your role involves designing and building scalable systems for machine translation and large language models that power localization across various services like Apple Music and the App Store. You will take models from prototype to production, ensuring they run reliably at massive scale with optimized latency and throughput. Additionally, you will integrate these models into existing systems, conduct applied research on techniques such as LLM fine-tuning and model compression, and build evaluation infrastructure to measure translation quality. Proficiency in Python, deep learning toolkits like TensorFlow or PyTorch, and experience with large-scale production systems are essential, along with a strong background in Deep Learning, NLP, and machine translation. This role offers the opportunity to work on state-of-the-art technologies while contributing to Apple's commitment to privacy and innovation.

What you'll do

  • Design and build machine translation systems that power Localization across Apple Services at scale.
  • Develop and own data pipelines for reliable serving and inference of ML models with focus on performance metrics.
  • Integrate ML models into Apple Services systems, partnering to achieve business objectives through robust technical solutions.
  • Drive applied research in LLM fine-tuning, model compression, and emerging techniques like agentic workflows.
  • Build evaluation infrastructure to measure translation quality and system performance for iterative improvement.
  • Mentor engineers and foster innovation while contributing to industry publications and patents aligned with Apple's standards.

What we're looking for

  • BS/MS/PhD in a quantitative field and 5+ years of relevant experience.
  • Proficient programming skills in Python for production-quality code.
  • Hands-on experience with deep learning toolkits like JAX, TensorFlow, or PyTorch.
  • Proven track record training and deploying large models in production.
  • Experience building and operating large-scale distributed production systems.
  • Deep understanding of Deep Learning, Large Language Models (LLMs), and NLP.

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