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Apple’s ASE team seeks an engineer to design, launch, and support instrumentation and privacy-preserving analytics across iOS, macOS, tvOS, watchOS, visionOS, and the web. You will shape data collection while preserving user privacy and own the end-to-end lifecycle of client instrumentation.
Work with product managers, client/server engineers, data scientists, privacy experts, and legal teams to define specs and ensure compliant analytics across Apple services.
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.We’re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of cross-functional stakeholders to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy.
We’ll be tasked with designing, launching, and supporting new data tooling and standards to answer high-level analytics questions at scale.Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you’ll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications, documents that specify what fields and values are collected and when for all new features released across ASE products and services.
To accomplish all this, you’ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more.
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple5+ years of experience working as a software engineer, technical product manager, or engineering-focused management consultantStrong software design skills, coupled with a deep knowledge of data structures and algorithmsComfort working with large, cross‑functional teams spread across multiple locationsStrong communication and collaboration skills: The ability to translate ambiguous high-level analytics questions into concrete engineering asksStrong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective‑C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, VueBS or MS in Computer Science or equivalent industry experience
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and AppleIndustry experience in Privacy-Enhancing Technologies for large-scale distributed systemsExperience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography