The role involves developing machine learning models to assess the behavior of autonomous vehicles. The individual will build and maintain machine learning infrastructure to support high-performance models. Collaboration across various teams is required to transition state-of-the-art research into production systems. The position focuses on creating and operating large-scale data systems, simulation workflows, and insight tools. Additionally, the role combines expert human judgments with advanced machine learning models to provide training and evaluation data for the autonomous driving system.

Candidates must possess a Bachelor of Science degree in Computer Science, Robotics, Statistics, Physics, Math, or a related quantitative field, or demonstrate equivalent work experience. A minimum of four years of experience in building productionized machine learning models is required. Proficiency in Python and C++ for system design and coding is necessary. Furthermore, applicants should have a background in applied deep learning and a proven track record of improving model quality.