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Machine Learning Engineer — Large Language Models, Generative AI & Agentic Systems

Apple|San Francisco, United StatesOnsite
$172k - $302kUSDVerified
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Job Description

Role on Apple’s Intelligence Platform team building LLM‑driven and agentic AI systems that power knowledge and inference across Apple’s operating systems. The engineer helps translate cutting‑edge research in generative models, retrieval‑augmented generation, and tool‑using agents into robust, privacy‑conscious production systems at Apple scale.

Responsibilities

  • Design and build LLM‑powered agents and inference services that combine world knowledge, user context, and Apple‑specific domain signals.
  • Partner with research teams to bring new generative‑AI techniques into production, including experimentation, evaluation, and iteration.
  • Contribute to the technical direction of Apple’s Intelligence Platform and help define how agentic workflows are evaluated and monitored in real‑world use.
  • Work closely with product and infrastructure teams to ensure solutions meet Apple’s privacy, reliability, and on‑device constraints.

Benefits

Apple compensation typically combines base salary, restricted stock units, and eligibility for the Employee Stock Purchase Plan, plus comprehensive health, retirement, and education benefits; similar applied ML roles list base ranges roughly in the high $100Ks to low $300Ks depending on level and location.

Category

LLM / Generative AI Engineer

Posted

12/14/2025

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