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We are working on new technologies that transform the user experience at the product level, all of which is driven by a world-class vertically integrated engineering team spanning RF/Analog architecture and design, Systems/PHY/MAC architecture and design, VLSI/RTL design and integration, Emulation, Design Verification, Test and Validation, and FW/SW engineering.
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The Growth Marketing Manager will be a key contributor within a cross functional team, partnering with marketing, product, engineering, data analytics, design, and business, to drive awareness and ultimately bring new customers to Apple services and products, via our apps and our many communication channels.
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This is a highly technical, hands-on position where you will work with Cloud Engineering teams and global, follow-the-sun Site Reliability Engineering (SRE) teams to make our services reliable and fast for hundreds of millions of customers.
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You have experience with Systems Software implementation of new algorithms and data engineering / analysis aspects of an ad network in Python and/or Scala and/or Java, or you have research experience in at least three of the following research areas - Algorithms, Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Statistics, Personalization, Recommender Systems, Information Retrieval, Natural Language Processing.
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This position’s focus is on the privacy compliance within the Wallet, Payments and Commerce Engineering team. Key Qualifications: Knowledge of software development lifecycle, infrastructure and data management techniquesExcellent collaboration and relationship building skills.
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MS or PhD in Electrical or Computer Engineering or Computer Science. Experience in dealing with power characterization and estimation of workload power and/or performance based on data science techniques.
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Ph. D. in Mechanical Engineering with emphasis on Heat Transfer or Fluid Dynamics. You will also be responsible for: - Specification and optimization of thermal control parameters - Analysis of system test data and preparing executive presentations - Communication of status and results to cross-functional teams and management - Occasional travel required.
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Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. AS A SENIOR RESEARCH MANAGER, YOU WILL: - Lead teams of machine learning and research engineers to define and deliver responsible machine learning technologies - Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of our AI-driven platform and features.
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Experience in all aspects of software engineering and a proven track record of delivering data-driven solutions at scale. We seek candidates with exceptional communication skills and the ability to adapt engineering solutions to complex data challenges.
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