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Apple Sr Machine Learning Engineering Manager - Maps Search United States, California, Cupertino 34310667
18.11.2024
Description
As a Senior Manager on our team, you will lead all aspects of our features related to Business Search. You will be responsible for driving definitions and developing, evaluating and deploying multiple search features including large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps.
Minimum Qualifications
- MS in Computer Science or related field with 10+ years of progressive software engineering management experience
- Experience in leading and developing teams which work in information retrieval domains like search, personalization, recommender systems, assistants, or related areas.
- Solid understanding of indexing and ranking algorithms
- Experience with distributed systems and services
- Experience of building machine learning applications at scale
- Strong background in execution and delivery of consumer-focused features or products
- Highly developed interpersonal and communication skills with proven experience partnering with and communicating highly technical concepts and roadmaps to varying levels of partner teams, product management, and executives
Preferred Qualifications
- PhD preferred
- Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions
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 $219,300 and $378,700, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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