AIML - Engineering Manager, Search and Knowledge Quality

Are you passionate about Search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to get information! We are a world-class team of machine learning engineers, partnering closely with product, data science, and infrastructure teams, to power and improve features across Apple products, including Siri, Spotlight, Safari, Messages, and more. You will guide teams operating in one of the most dynamic high-performance computing environments, handling petabytes of data and millions of queries per second.

Description

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.

• Partner with product, data science, and infrastructure leaders to deeply understand their priorities and translate them into clear technical strategies.
• Balance partner needs by designing solutions that advance user-facing experiences while ensuring system scalability, reliability, and efficiency.
• Oversee the delivery of end-to-end improvements in search quality, spanning data pipelines, ML models, and distributed systems.
• Drive the adoption of advanced ML methods while ensuring pragmatic, production-ready implementations.
• Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts.
• Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems.

• 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, 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

• Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields.
• Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale.
• Strong engineering leadership and fundamentals, with experience building and mentoring high-performing teams.
• Excellent product vision and sound business judgment; able to balance long-term strategy with short-term deliverables.
• Exceptional communication and collaboration skills, with the ability to align cross-functional stakeholders (product, data science, infrastructure) around shared goals.