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Machine Learning Architect, SIML - LLM & Generative AI
Apple
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Seattle, United States
Location
Seattle
Posted
June 03, 2026
Commute
Local Area
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Job Description
**Role Number:** 200591915-3337
**Summary**
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation.
You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
**Description**
In this ML architect role, the key responsibilities include:
Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and ge...
**Summary**
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation.
You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
**Description**
In this ML architect role, the key responsibilities include:
Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and ge...