About The Position

As part of the Siri organization, this role helps shape Apple’s AI assistant and next-generation Apple Intelligence capabilities, including personal context understanding and on-screen awareness. The work spans iOS, iPadOS, macOS, watchOS, and visionOS, integrating foundational AI research with Apple hardware and software to create privacy-centered, human-focused user experiences. The Principal Applied Research Engineer will drive innovation in self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. The role involves shaping intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences.

Requirements

  • MSc or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience delivering zero-to-one LLM productization.
  • Deep expertise in transformer-based LLMs and multimodal foundation models, including integration of text, vision, and audio with cross-modal attention.
  • Hands-on mastery across the model lifecycle, including pre-training, fine-tuning, performance optimization, and safety alignment.
  • Expertise in designing AI agents for complex reasoning while navigating on-device compute constraints.

Nice To Haves

  • Ability to influence high-level architecture decisions and advocate effectively for novel research directions to product leadership.

Responsibilities

  • Drive innovation across self-improving systems, agentic memory, and personalized autonomous multi-agent systems.
  • Shape intelligent architectures that learn continuously, retain and reason over persistent memory, and coordinate across agents.
  • Translate frontier research into scalable product experiences.
  • Integrate foundational AI research with Apple hardware and software to support user-centered assistant capabilities.
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