About The Position

Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for easy, relevant access to local information, such as finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations. The Siri Maps is part of a wider effort to power search across a variety of Apple products - including Siri, Spotlight, Safari, Messages, and more. We leverage the latest ML techniques and LLMs in order to understand queries, rank documents, and create useful, accurate, and helpful answers to users' questions. We are seeking an experienced engineering manager who is passionate about applying Generative AI, LLMs, and other cutting-edge technology at scale to lead a search team focused on providing the most accurate and informative answers delivered in an intuitive and delightful experience for all Maps questions. You will join a team that combines strong technical skills, product vision, and a love of all things local to bring together the pieces needed to deliver a world-class Maps experience in Siri and Spotlight.As an engineering manager on our ML Search team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions.

Requirements

  • PhD degree in AI, Machine Learning, Computer Science, Mathematics
  • Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP solutions.

Nice To Haves

  • Experience with geospatial data is a plus.

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Industry

Computer and Electronic Product Manufacturing

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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