Staff Engineer, Machine Learning - Online Mapping Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Team

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Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines. About the Role

Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work

Research, develop, and implement state-of-the-art online mapping models and algorithms. Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system. Work cross functionally with other ML teams to integrate our models into centralized architectures. Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements. About You

Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation. Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in AV, robotics, mapping, computer vision, or related areas. Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions. Able to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions. Experience with robotics-related ML applications, 3D geometry. Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax. Bonus Points Proficiency in working with complex multi-component systems. Experience in building ML pipelines and optimizing/productizing ML models. Familiarity with modern ML tools and infrastructure such as distributed training and ML compilers. Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA). Deep understanding of 3D geometry and state estimation fundamentals. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $202,350 and $303,050 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. 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#J-18808-Ljbffr Remote working/work at home options are available for this role.