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

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.

Key Responsibilities

• Drive definitions and develop, evaluate and deploy multiple search features including Generative AI and LLMs, large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps.
• Own details of projects and long-term vision for the team.
• Collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams.
• Provide technical and career mentorship to your team to ensure their success.
• Communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple.

Key Qualifications

• MS in Computer Science or related field with 6+ years of progressive software engineering management experience
• Demonstrated success in leading and growing high-performing teams focused on information retrieval technologies, including search, assistants, personalization, and recommender systems.
• Experience with distributed systems and services
• Experience building and deploying Generative AI, LLM, and machine learning applications at scale.
• Exceptional interpersonal and communication skills, with a proven ability to translate complex technical concepts and roadmaps for diverse audiences, including partner teams, product management, and executive leadership.

Preferred Qualifications

• PhD Preferred
• Experience evaluating and deploying multiple search features including large-scale GenAI and AI/ML models, deep-learning, and natural language processing solutions
• Understanding of search indexing and ranking algorithms
• Background in execution and delivery of consumer-focused features or products

Additional Requirements

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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