AIML - Engineering Manager, Search and Knowledge Quality

Apple • Santa Clara, CA

120d

About The Position

As Engineering Manager for the Search and Knowledge Quality team, you will be responsible for leading the development of the ranking and retrieval technologies that power question answering and search across Apple products. You will guide your team in designing and evolving large-scale machine learning and data systems applied to graph data, web documents, and diverse structured and unstructured data sources. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. You will set technical direction, foster deep cross-functional collaboration, and deliver products that delight users daily while significantly impacting how information is accessed and applied across Apple’s ecosystem. Your leadership will ensure that our search and knowledge experiences continue to evolve, enabling products that feel effortless, responsive, and deeply useful for hundreds of millions of users worldwide.

Requirements

• 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing and SOTA generative AI models.
• Proven record of consistent delivery of technology/products across the full Machine Learning life cycle.
• MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field.

Nice To Haves

• Proven background in Machine Learning, NLP, and large-scale Search.
• Deep expertise in retrieval and ranking models and the broader search stack.
• Strong engineering leadership and fundamentals, with experience building and mentoring high-performing teams.
• Excellent product vision and sound business judgment.
• Exceptional communication and collaboration skills.

Responsibilities

• Lead the development of ranking and retrieval technologies for question answering and search across Apple products.
• Guide the team in designing and evolving large-scale machine learning and data systems.
• Collaborate with experts in large-scale data management, machine learning systems, and knowledge extraction.
• Drive advancements in question answering and search technologies.
• Set technical direction and foster cross-functional collaboration.
• Deliver products that enhance user experience and impact information access across Apple's ecosystem.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees