Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high quality labeled data. This is facilitated by a comprehensive labeling stack featuring an expressive workflow definition framework, scalable infrastructure, and a suite of data annotation tools. Nuro works with industry leading sensors. Our tools must handle efficient visualization and annotation of millions of points of sensor data. Improving label quality is an iterative and experimental process in collaboration with Nuro's autonomy teams. The team partners closely with autonomy engineers to ensure teams have high quality labeled data in a timely manner.
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Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
501-1,000 employees