The role involves addressing complex real-world challenges through the application of machine learning and engineering solutions. The individual will design and implement machine learning models for deployment on production vehicles. Responsibilities include creating architectures, algorithms, data pipelines, and evaluation systems utilizing large-scale data infrastructure. The position requires collaboration with researchers and engineers to develop safe and efficient planning behaviors for autonomous vehicles. Furthermore, the role focuses on optimizing the onboard system architecture to ensure effective model performance and vehicle navigation.

Candidates must possess a minimum of 7 years of experience in machine learning modeling or autonomous vehicle systems. A bachelor’s degree in computer science, machine learning, robotics, or a related technical field is required, though equivalent practical experience is accepted. Proficiency in Python and C++ is necessary, alongside hands-on experience with deep learning libraries such as TensorFlow, JAX, or Pytorch. Strong analytical and problem-solving capabilities are essential for this role.