About The Position

In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One central part of the user experience is to understand the personal context and their information-seeking needs: this means the experiences understand the user deeply (their contents, their behaviors, their preferences, etc.) and use the deep understanding to help users accomplish things in an intelligent, intuitive, and private way, as well as delivering the most accurate, fresh, and rich experience to satisfy their information needs. We also develop generative AI-based models and systems to power Apple Intelligence features, which simplify users' lives, make them more productive, and consume all the information delivered on Apple devices more effectively and efficiently with less effort. In this role, you will drive LLM based question answering, personal content search, and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning in the post-training of generative models, and then deliver the truly delightful user experiences that are uniquely Apple. You will be responsible for devising the generative AI technology vision and strategy, developing advanced RL algorithms and synthetic/human data pipelines, evangelizing it, executing the plan, improving the LLM-based model quality for multiple Apple Intelligence features, and delivering the end-user experience. You will have the opportunity to work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to profoundly impact billions of Apple users worldwide.

Requirements

  • Deep expertise in information retrieval, machine learning, natural language processing and understanding.
  • Experience in reinforcement learning-based post-training on LLM models.
  • Knowledge of reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
  • Strong product intuition and ownership.
  • Excellent communication skills.
  • Growth mindset and ability to learn new technologies.

Responsibilities

  • Drive LLM based question answering and personal content search.
  • Develop generative AI technology vision and strategy.
  • Develop advanced RL algorithms and synthetic/human data pipelines.
  • Evangelize and execute the generative AI plan.
  • Improve LLM-based model quality for multiple Apple Intelligence features.
  • Deliver end-user experience.

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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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