ML Engineer, II - End to End (E2E)

Job description

Meet the Team: As a Machine Learning Engineer II – End-to-End, you will help develop and deploy End-to-End models that power both perception and decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to End-to-End models that enable safe, efficient, and human-like driving in real-world freight operations. This role focuses on building, validating, and improving machine learning models and infrastructure that support End-to-End systems within the autonomy stack. What You’ll Do: - Develop and train machine learning models for End-to-End percetion and planning, including approaches such as imitation learning and reinforcement learning. - Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. - Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. - Contribute to model training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data. - Collaborate with simulation, validation, and autonomy engineering teams to test and eva...