Build the backend systems that power location intelligence for billions of people. Craft the next generation of location-aware experiences by architecting systems that seamlessly connect peoples digital and physical lives - at a scale few engineers ever get to work with. Are you passionate about solving hard problems in clever ways? Do you love digging into data and proposing bold ideas, not just implementing them? Do you want your work to have real impact - from someones daily commute to a life-critical emergency? If so, we might just be the team for you. Here at Apple, we build devices and services that enrich our customers lives. In the location technologies group, we power navigation, emergency response, fitness, and a rapidly expanding set of indoor and outdoor services across new and existing hardware - spanning the full stack from raw sensors to the application layer. We reach more than a billion people every day, and what we do makes a difference. Join our team, and well help you do the best work of your life. If you join our team, youll architect and build backend systems that process crowdsourced sensor data from hundreds of millions of devices, fueling algorithms that solve problems from everyday navigation to life-critical emergencies. Youll propose ideas, crunch data, leverage modern AI tools, and ship systems that run under demanding real-world efficiency requirements at global scale.If you join our team, youll bring machine learning expertise and strong software engineering craft to bear on some of the hardest sensor data problems in the world. Youll design, build, and maintain high-quality, production-grade software systems - writing well-architected, testable, and performant code that others on your team rely on every day. Youll design and build signal processing pipelines and data infrastructure that ingest and interpret crowdsourced sensor data from hundreds of millions of devices - and apply ML to extract intelligence from those streams at scale. Youll own the full ML lifecycle: from problem formulation and feature engineering on raw sensor data, through model development and experimentation, to building the infrastructure that takes models reliably into production. Youll solve problems ranging from everyday navigation to life-critical emergencies, propose bold ideas, crunch data, leverage modern AI tools, and ship systems that run under demanding real-world efficiency requirements at global scale.Proficient in Java or equivalent backend languages such as Scala Strong foundation in object-oriented design, distributed systems, and real-time software architecture Masters or PhD in Computer Science or related field, or a Bachelors degree with proven experience architecting real production systems at scaleDemonstrated experience architecting and operating high-scale production backend systems Experience with crowdsourced, sensor, or telemetry data systems Comfortable implementing complex mathematical or statistical algorithms Familiarity with AI/ML tools applied to accelerate development and analysis Familiar with Linux-based development environments Strong communication skills - you can explain complex systems clearly to any audience Curious and energized by problems that do not have obvious solutions yet
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.