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Senior Machine Learning Engineer

Beijing

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Employment
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What you’ll work on

Full posting
  • Lead modeling and adaptation of on-device models

  • Optimize on-device models for engineering efficiency

  • Build high-efficiency on-device Large Language Models

  • Develop parameter-efficient fine-tuning technologies

From the employer’s posting
lead the modeling, adaptation, and engineering optimization of on-device models
engineering optimization of on-device models
We build high-efficiency on-device Large Language Models
advanced parameter-efficient fine-tuning technologies

What you’ll bring

All qualifications

Core experience

  • Experienced and technically deep in machine learning
Qualification wording
We are seeking an experienced and technically deep Machine Learning Engineer

Posting record

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Status in our records
Live
First seen by us
Oct 8, 2026 · 10d ago
Recorded sightings
67
Last seen by us
Oct 17, 2026

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Job description

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Join the Siri team at Apple! Build and contribute to a product and company that is building products, personal devices, and software designed to enrich people's lives. Work on building and advancing the world's most popular intelligent assistant that helps millions of people get things done — just by asking. Global Siri works to bring Siri to the next level of intelligence and capability across all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple devices such as iPhone, iPad, Apple Watch, Mac, AirPods, HomePod, Vision Pro, and Apple TV. On the Global Siri team, we develop ML models and algorithms for both on-device and server-side applications, ultimately delivering product-critical models that surprise and delight customers around the world in the languages they speak. We build high-efficiency on-device Large Language Models and advanced parameter-efficient fine-tuning technologies that deliver personal, contextual, and highly private user experiences at scale. We are seeking an experienced and technically deep Machine Learning Engineer to lead the modeling, adaptation, and engineering optimization of on-device models that power features used by hundreds of millions of people worldwide.

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Pay

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Location & working pattern

Beijing

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