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Apple, Inc.

Privacy Engineer - Systems Experiences, Apps, and Technologies

Job Description

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team. Description We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on core applications such as Wallet, Mail and Safari. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable Apple to improve products with industry-leading privacy.
In this role you will:
  • Review features to identify privacy exposures and partner with teams to design mitigations.
  • Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.
  • Communicate privacy risks and potential mitigations to senior leadership to drive decisions.
  • Review data collection requests and systems that enable product improvement while preserving privacy.
  • Partner with technical experts in web browsing and digital payments to build privacy-preserving features and technologies, including fraud detection algorithms.
Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must. Minimum Qualifications BSCS or equivalent experience Experience with cryptography and its use for end-to-end encrypting data or anonymizing users Experience with differential privacy or private federated learning Programming experience Preferred Qualifications Passion for customer privacy Strong collaboration, communication, interpersonal, and organizational skills Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations Ability to analyze systems' architectures for privacy impact Ability to solve complex problems independently 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 $184,700 and $324,800, 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.

Benefits

  • Financial Aid/Assistance
  • Other Retirement and Savings
  • Employee Stock Options (ESOs)
  • Health Insurance

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$166,830 / year median in California

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