Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those places mean to you. You're experiencing our work whenever you see a suggested location in Maps or Calendar, or browse your Memories in Photos or Journal. We're working for you whenever your phone engages Do Not Disturb While Driving or remembers where you parked.
We're the Location Context team, and we build the location intelligence backbone powering Maps Visited Places, Siri location suggestions, and predictive features across the OS. We're looking for engineers who love solving hard problems at the intersection of location state estimation, on-device machine learning, and privacy-preserving systems.
Are you excited by any of these challenges?
• Building location state estimators that fuse GPS, WiFi, IMU, and altimeter data to understand not just where users are, but what floor of a building they're on
• Designing ML models to infer the semantics of a place and forecast where the device will go next, entirely on-device with strict power and memory budgets
• Developing clustering algorithms and data pipelines that process billions of location events while preserving user privacy
• Optimizing system performance at massive scale—where a 1% edge case impacts 10 million devices and a power regression of 0.1% matters
• Collaborating with Maps, Siri, Photos, HomeKit, Journal, and Safety teams to power features that require deep contextual understanding
If this sounds like you, read on.
