Sr. Staff / Distinguished Engineer

Imagine the web itself as your raw material — every page, every image, every signal of what’s new and what matters, flowing in at a scale most engineers only read about in systems papers. At Apple, that scale is a daily reality. The data acquisition platform you’d help lead doesn’t just power search — it’s the sensory layer underneath Siri, Spotlight, Apple Maps, and the foundation models driving Apple Intelligence. Every one of those products depends on a continuous, exabyte-scale pipeline of fresh, high-quality information pulled from the live web, stored, and made usable in near real time. As a Sr. Staff / Distinguished Engineer on this team, you won’t just build the pipes — you’ll shape the intelligence that decides what flows through them. This role sits at the intersection of distributed systems and machine learning: the hard problem isn’t only moving exabytes of data, it’s deciding what’s worth acquiring, how to score and prioritize it, and how to continuously improve that judgment as the web and Apple’s models evolve. You’ll work across engineering, AI research, and product teams to turn crawl and storage infrastructure into a system that gets smarter over time — one whose decisions directly shape the quality of the intelligence millions of people rely on through Apple’s products. If you’re energized by distributed systems at their most extreme scale, know how to bring ML into the decisions that govern what data gets captured and how it’s valued, and want your judgment to shape the strategic direction of Apple’s AI data foundation, we want to talk to you.