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Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems
Apple
📍
San Francisco, United States
Location
San Francisco
Posted
June 02, 2026
Commute
Local Area
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Job Description
**Role Number:** 200636539-3401
**Summary**
The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale!
**Description**
We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple.
Agentic AI is an emerging area for our team—prior experience is a plus but not required. What matters most is curiosity,...
**Summary**
The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale!
**Description**
We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple.
Agentic AI is an emerging area for our team—prior experience is a plus but not required. What matters most is curiosity,...