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AIML - Machine Learning Manager, Maps Search

Yesterday Seattle, WA

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.

Description

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.","responsibilities":"Balance both technical execution and the long-term vision for the team

Collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps.

Provide both technical and career mentorship, empowering your team to succeed.

Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.

Preferred Qualifications

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.

Experience with geospatial data is a plus.

Minimum Qualifications

Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.

10+ years of experience applying and leading teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets.

6+ years of experience managing ML teams and leading ML development.

Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, ML, NLP, and Computer Vision.

Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.

Hands-on experience in developing & supervising production code in Python or Java.

Familiarity with databases, SQL, and scripting languages.

Proven ability to translate requirements from design to implementation, both independently and within larger teams.

Demonstrated ability to actively manage team performance and take ownership of driving outcomes.

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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Client-provided location(s): Seattle, WA
Job ID: apple-200628873-3337_rxr-658
Employment Type: OTHER
Posted: 2025-11-10T19:06:40

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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