AIML - Machine Learning Manager, Maps Search
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.
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.
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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.
Pay & Benefits
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 $216,600 and $325,500, 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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