AI Search Architect - AI, Search & Knowledge Platforms

Apple•Santa Clara, CA

23h

About The Position

In this role, you will drive LLM-based question answering, personal content search, and Apple Intelligence features to provide users with concise, accurate, and grounded information to help them complete their tasks quickly on Apple devices. You are expected to take advantage of the Apple ecosystem, which blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with the phenomenal power of Reinforcement Learning for post-training of generative models, and then deliver 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 quality of LLM-based models across 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 impact billions of Apple users worldwide profoundly.

Requirements

10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, Conversational AI.
MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field.

Nice To Haves

Deep expertise in the field of information retrieval, machine learning, and natural language processing processing and understanding, and in particular, reinforcement learning-based post-training on LLM models, 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, personal content search, and Apple Intelligence features.
Provide users with concise, accurate, and grounded information to help them complete their tasks quickly on Apple devices.
Take advantage of the Apple ecosystem, which blends cutting-edge hardware, software, and strong privacy/security guarantees.
Integrate this with the phenomenal power of Reinforcement Learning for post-training of generative models.
Deliver truly delightful user experiences that are uniquely Apple.
Devise the generative AI technology vision and strategy.
Develop advanced RL algorithms and synthetic/human data pipelines.
Evangelize the generative AI technology vision and strategy.
Execute the generative AI technology plan.
Improve the quality of LLM-based models across multiple Apple Intelligence features.
Deliver the end-user experience.
Work with a wide range of organizational partners across foundation modeling, design, product and marketing, software engineering, and foundation modeling to impact billions of Apple users worldwide profoundly.