Senior Applied ML Engineer, Localization Platform

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $205,400–$308,500 / yr
Posted: 37 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $234k

This role $257k

$168k most similar roles pay here $324k

This role pays more than 84% of similar roles. Most pay $214,000–$254,750 — the shaded band above. At the midpoint, this role pays about $257k versus about $234k 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 · Senior Applied ML Engineer, Localization Platform

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Sr. Applied ML Engineer, Apple Services Localization Platform joins the Apple Services Engineering team to develop core language and machine translation models that power global localization across various services including Apple Music and the App Store. The role involves designing and shipping LLM-based systems, building production-ready serving and inference pipelines, and developing evaluation infrastructure to measure translation quality. You will work on advanced techniques such as agentic workflows, foundation modeling, model compression, and RAG while managing data pipelines for high-scale deployment. Key technical requirements include proficiency in Python and deep learning toolkits like JAX, TensorFlow, or PyTorch. The position focuses on the intersection of machine translation and large-scale software engineering to solve complex localization challenges, including lyrics transliterations and multi-language content delivery across diverse platforms and marketing campaigns.

Skills

Machine Learning Natural Language Processing Large Language Models Python PyTorch TensorFlow JAX Machine Translation RAG MLOps Model Compression Quantization Distillation Data Pipelines Agentic Workflows COMET BLEU

What you'll do

Design and ship machine translation and LLM-based systems for global localization across various Apple Services.
Build and manage production-grade serving, inference, and data pipelines optimized for latency, throughput, and cost.
Integrate ML models into existing service architectures and APIs to meet specific business objectives.
Conduct applied research on LLM fine-tuning, model compression, and agentic workflows.
Develop evaluation infrastructure to measure translation quality and system performance metrics.
Communicate technical results and trade-offs clearly to both technical teams and non-technical leadership.
Mentor other engineers and contribute to the team's culture of technical excellence and innovation.

What we're looking for

BS/MS/PhD in a quantitative field such as Computer Science, Math, Statistics, or Physics.
5+ years of relevant experience in the field.
Proficiency in Python and strong software engineering fundamentals for production-quality code.
Hands-on experience with deep learning toolkits like JAX, TensorFlow, or PyTorch.
Proven track record of training or deploying large models in production environments.
Experience building or operating large-scale, distributed production systems.
Deep understanding of Deep Learning, Large Language Models (LLMs), and Natural Language Processing (NLP).
Preferred experience with machine translation, model optimization (quantization/distillation), and MLOps infrastructure.