WebKit Privacy & Adtech Engineer

At Apple, we care about people, and privacy is about people. Advertising is a very popular way to fund websites and traditionally, online advertising has involved technology that's bad for privacy, such as user tracking. Making both things work well - privacy and advertising - is the mission of WebKit Privacy & Adtech.\\n\\nWebKit is the web engine in Safari, the world's fastest and most power efficient web browser. WebKit is Open Source and one of the most popular frameworks for apps in iOS, watchOS, and macOS. WebKit also powers several of Apple's own apps such as Mail, Books, and News. Our responsibilities stretch across all of those use cases.

The WebKit Privacy & Adtech team builds and maintains Intelligent Tracking Prevention, Advanced Tracking Protection, anti fingerprinting, and privacy-preserving ad attribution for Safari and apps. We do our work in the web engine which means systems programming. We are active in web standards, working with other browser vendors as well as website owners on how to progress the web platform with both privacy and advertising in mind.\n\nWe're looking for an engineer who can help us investigate online tracking and fingerprinting, scale up crawling to detect tracking and fingerprinting in an automated fashion, and design and implement privacy-preserving alternatives to tracking for use in online advertising. This is a role that requires creative thinking to tackle unsolved problems, tenacity in figuring out what trackers are doing, and a firm belief that we can have a great web and Internet with privacy.

Systems programming skills using C++ or similar manual memory managed and pointer-based language\nKnowledge in how cross-site tracking and fingerprinting works\nExperience in ad attribution, ad targeting, and other forms of advertising measurement\nA passion for advocating for users and advancing online privacy\nBS in Computer Science or equivalent.

Experience working on web standards in organizations like W3C and IETF\nExperience using privacy-enhancing technologies (PETs) such as differential privacy, multi-party computation, and homomorphic encryption to deliver utility while protecting users\nC++ and Swift programming\nExperience using large language models for software engineering