didi · San Jose, CA
Skills: Python
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. About The Role 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, …truncated… els, or foundation models applied to driving and robotics. Experience deploying and optimizing ML models for real-time onboard inference, including TensorRT, CUDA, quantization, and compute or latency optimization. Publications at leading conferences such as CVPR, ICCV, ECCV, NeurIPS, CoRL, ICRA, IROS, or IV, or equivalent demonstrated technical impact in industry. The annual base salary range for the Senior ML Engineer position is $169,783–$282,264, and for the Staff ML Engineer position is $203,726–$338,694. In addition to base salary, compensation includes bonus, equity, and benefits. The salary ranges are determined by role, level, and location. Individual compensation within the range depends on several factors, including work location, job-related skills, relevant experience, and education or training. I acknowledge that prior…
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