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Required Staff ML Engineer
Tel Aviv
As a Staff ML Engineer, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team sits at the intersection of machine learning, optimization, and real-world operations – turning complex, multi-dimensional challenges into the real-time intelligence that powers our mass-scale automated dispatch system. This is a rare opportunity to work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.
About the Role:
Own the development of ML models and optimization algorithms that drive our real-time dispatch system – making smart, scalable decisions across thousands of simultaneous rides, drivers, and operational constraints.
Design and implement online algorithms for real-time decision-making, balancing system utilization with a consistently high quality of service for riders – where every millisecond and every percentage point of efficiency matters.
Model and mathematically represent competing demands on our system, translating messy real-world operational complexity into elegant, tractable formulations that can be solved at scale.
Use sophisticated statistical methods to analyse demand patterns, traffic dynamics, and fleet performance – generating insights that directly inform algorithm development and operational strategy.
Collaborate closely with engineering, product, and operations teams to bring complex algorithmic work to life in production – owning the full journey from research and prototyping through to real-world deployment and iteration.