Build the systems and algorithms that power location intelligence for billions of people. Craft the next generation of location-aware experiences by combining strong software engineering, machine learning, signal processing, and data infrastructure to seamlessly connect people's digital and physical lives — at a scale few engineers ever get to work with. Are you passionate about writing clean, scalable code and applying ML to real-world sensor problems in clever ways? Do you love digging into data, building intelligent systems, and proposing bold ideas — not just implementing them? Do you want your work to have real impact — from someone's daily commute to a life-critical emergency? If so, we might just be the team for you.

If you join our team, you'll bring machine learning expertise and strong software engineering craft to bear on some of the hardest sensor data problems in the world. You'll 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. You'll 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. You'll 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. You'll 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.