In this role, you will develop and enhance top-notch evaluation signals and analysis tools aimed at optimizing models for autonomous vehicles. You will also take on a technical leadership position, working collaboratively with various teams to ensure that offline evaluations correspond with the behavior of vehicles in real-world scenarios. Candidates should have proficiency in technologies like Python, React, Spark, and Kubernetes, as well as experience in machine learning or the field of autonomous driving. A bachelor’s, master’s, or doctoral degree in Computer Science or a similar technical discipline is essential.
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