About The Position

The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved. The frontier of AI isn't in the cloud anymore. It's in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user's device. At Apple's Siri team, this isn't a research paper-it's our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. We're looking for engineers who thrive on solving the puzzles that exist at the bleeding edge of hardware, software, and machine learning. This is a full-stack ML role for those who want to own their work from concept to silicon.

Requirements

  • Knowledge of Natural Language Processing
  • Experience with Small Language Models
  • Experience with Agentic AI

Responsibilities

  • Architect and train LLMs specifically for assistant behavior.
  • Design and implement novel context and adapter strategies to optimize model performance.
  • Own the curation, augmentation, and evaluation pipelines for data.
  • Shape the entire system architecture by collaborating with cross-functional experts.

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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