AIML - Engineering Manager, Search and Knowledge Quality

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.

• 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

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary restricted stock unit awards
• Employee Stock Purchase Plan
• Discretionary bonuses or commission payments
• Relocation assistance

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.