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Apple Manager Applied Machine Learning Information Security 
United States, Washington, Seattle 
587735020

21.12.2024
Minimum Qualifications
  • 5+ years experience managing teams with diverse backgrounds, experience, and skillsets
  • Experience leading teams that build and/or integrate with production products and services, using a software development lifecycle and agile development, ideally including use of machine learning pipelines.
  • Proven ability to take ambiguous ideas and turn them into requirements, design, and implementation both independently and with partner teams
  • You enjoy working closely with operational teams on deployment, monitoring, and management of production services and products.
  • You actively manage performance of the team reporting to you, developing and growing talent, and hiring a diverse and high performing team.
Preferred Qualifications
  • Experience building and running production products and services, with ML-powered features
  • Experience integrating features into existing products or platforms, both internally and third party developed.
  • Experience in one or more of the following domains: Information Security, Software Development, Algorithms,Architecture, Artificial Intelligence, Database Systems, Data Analysis, Machine Learning, Networking, Statistics, or other experience with Quantitative Analysis or Systems Software implementation
  • Experience navigating, balancing, and delivering on conflicting priorities and deadlines across partner teams and programs
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 $208,300 and $313,000, 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.