Machine Learning Research Scientist: Generative Modeling for Planning

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About this role

Machine Learning Research Scientist: Generative Modeling for Planning Mountain View, California (HQ) Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale-empowering a safer, richer, and more connected future. About the Work - Develop and scale state-of-the-art generative models-especially diffusion architectures, flow-matching techniques, and energy-based models -for autonomous plan generation. - Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation. - Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling. - Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards. - Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate your solution by deploying the models on to the NuroDriver. About You You have deep expertise and prior experience in some or many of the following areas: - You have

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