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# Sr. Applied ML Engineer, Apple Services Localization Platform

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $205,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), App Store (IOS), Computer Programming, Python (Programming Language), Machine Learning, Machine Translation, Natural Language Processing, Tensorflow, Software Engineering, Comet Programming, Pytorch, ReactJS, Transfer Learning, Large Language Models, Deep Learning, Information Technology, Production Code, Machine Learning Operations, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/apple/sr-applied-ml-engineer-apple-services-localization-platform

## About the Role

PhD in a quantitative field, or equivalent depth in machine translation, multilingual NLP, or applied LLM research.

Experience with machine translation and translation-quality evaluation (e.g., COMET, BLEU, human evaluation).

Experience optimizing model serving and inference - quantization, distillation, or compression - for low-latency, high-throughput deployment.

Familiarity with MLOps and model-deployment infrastructure.

Experience building LLM-based agents, including the ReAct pattern in agentic workflows., BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of relevant experience., Strong software engineering fundamentals and proficient programming skills in Python, with experience writing and maintaining production-quality code.

Hands-on experience with deep learning toolkits such as JAX, TensorFlow, or PyTorch.

Proven track record training or deploying large models in production.

Experience building or operating large-scale, distributed production systems.

Deep understanding of Deep Learning, Large Language Models (LLMs), and Natural Language Processing (NLP).

## Description

We build and develop the core language and machine translation models that power Localization across Services in an efficient and scalable manner - and the production systems that put those models in front of users. We work on a wide spectrum of approaches, including agentic workflows, foundation modeling, deep learning, model compression, and transfer learning. We also build the systems that power Apple Music lyrics translations and lyrics transliterations (phonetic pronunciation). This position spans applied modeling and the software engineering needed to ship at scale, offering a unique chance to work where Localization meets state-of-the-art, large-scale software development.

Does this sound like you? Join our team!

Responsibilities:

In This Role, You Will:

Design, build, and ship machine translation and LLM-based systems that power Localization across Apple Services, including Apple Music, the App Store, subscription services, and marketing campaigns.

Take models from prototype to production: build and own the serving, inference, and data pipelines that run reliably at massive scale, with a focus on latency, throughput, and cost.

Integrate ML models into Apple Services systems and APIs, partnering across teams to turn business objectives into robust technical solutions.

Drive applied research and experimentation, including LLM fine-tuning, model compression, and emerging techniques such as agentic workflows and RAG.

Build the evaluation infrastructure used to measure translation quality and system performance, and use it to guide iteration.

Communicate results, recommendations, and trade-offs clearly to both technical and non-technical audiences, including leadership and operations partners.

Mentor engineers and foster a culture of collaboration, technical excellence, and innovation. Where it aligns with Apple's innovation standards, contribute to publications and patents.


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