ML Engineer, Motion Planning

About Didi Autonomous Driving

Founded in 2016, DiDi's autonomous driving unit is dedicated to developing Level 4 autonomous driving technology to make transportation safer, more efficient, and accessible. In 2019, the unit became an independent company, Voyager, to accelerate technology development, commercialization, and large-scale deployment. By combining DiDi's unique data advantage, operational expertise, and mobility ecosystem, we aim to build a reliable, scalable autonomous fleet that integrates seamlessly with human-driven services. Driven by real-world customer needs and a strong commitment to safety and user experience , our mission is to deliver autonomous mobility solutions that create meaningful value for riders and communities.

We are looking for an experienced and driven Machine Learning Engineer to join our autonomous vehicle team and develop the next-generation ML-powered planning system for Voyager's autonomous driving platform. You will leverage frontier ML techniques, including learned planners and end-to-end models, to build intelligent systems that understand complex driving environments, make data-driven decisions, and navigate safely and efficiently. Working alongside leading industry experts, you will leverage DiDi's unique data advantage , including petabytes of real-world driving data, to advance model performance, build robust evaluation frameworks that correlate with on-road safety, and accelerate the deployment and scaling of our driverless technology.

• Develop next-generation ML-powered systems that generate driving behavior decisions, scene understanding, and trajectories to support our L4 autonomous driving deployment roadmap.

• Frame open-ended, real-world driving challenges as well-defined ML problems; research and apply cutting-edge techniques, including imitation learning, reinforcement learning, learned planners, and end-to-end models.

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