Staff Software Engineer - Traffic Machine Learning

Engineering at Uber means building for real-world impact under real-world constraints. The Traffic team owns the real-time heartbeat of our platform—processing road data, incidents, closures, and weather that dictate how every Uber trip is routed and priced. This isn’t a place for theoretical exercises; you will be building the systems that millions of people rely on to get where they’re going in the real world. The work is high-stakes and technically complex. You will be dealing with massive scale and the inherent messiness of real-world data, where performance and safety are inseparable. We need someone who thinks in systems, stays calm when production latency spikes, and has the grit to navigate technical debt while building for the future. If you thrive in high-autonomy environments and want to own the technical vision for one of Uber’s most critical domains, this is where you’ll grow. If you prefer a predictable playbook or a slow pace, this likely isn't the right fit.