Machine Learning/Generative AI Engineering Manager - Maps Search Query Understanding

Apple • Cupertino, CA

88d

About The Position

Apple Maps are being used by millions and powers thousands of applications every single day. Our mission is simple — build the best maps in the world. We are looking for an experienced Engineering Manager to lead the Search Query Understanding team to help continue building best-in-class algorithms and solutions which help drive Search on Apple Maps. If you are passionate about growing and developing amazing teams of innovative engineers while driving ML and Generative AI solutions at scale in a Search Domain, please read on! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. Join our Search Team and play a critical role in revolutionizing how users discover places and things. As a Manager, you'll be a technical leader in Query Understanding, responsible for intent understanding, query transformations, suggestions, and more, shaping the core of our Maps search experience.

Requirements

• MS in Computer Science or related field.
• 6+ years of progressive software engineering management experience.
• Demonstrated success in leading and growing high-performing teams focused on information retrieval technologies.
• Experience with distributed systems and services.
• Experience building and deploying Generative AI, LLM, and machine learning applications at scale.
• Exceptional interpersonal and communication skills.

Nice To Haves

• PhD Preferred.
• Experience evaluating and deploying multiple search features including large-scale GenAI and AI/ML models.
• Background in execution and delivery of consumer-focused features or products.

Responsibilities

• Lead the Search Query Understanding team.
• Drive the development of algorithms and solutions for Search on Apple Maps.
• Oversee intent understanding, query transformations, and suggestions.
• Shape the core of the Maps search experience.

What This Job Offers

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