motional · Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Skills: Python, SQL
The Behavior team at Motional is responsible for developing the prediction, planning, and sim agent capabilities that enable our autonomous vehicles to navigate complex, dynamic environments safely, comfortably, and confidently. Our work spans understanding and anticipating the behavior of other road users, making intelligent driving decisions, and generating safe, efficient, and natural vehicle trajectories. We combine cutting-edge machine learning, robotics, large-scale data, and rigorous evaluation to advance the capabilities of our production autonomous driving system. We are looking for a highly motivated, technically strong engineer to lead evaluation initiatives across Prediction and Planning. In this role, you will define how we measure, understand, and improve autonomous driving behavior, bridging the gap between individual model performance and real-world system outcomes. You will drive the development of advanced evaluation methodologies, performance metrics, data mining strategies, and scalable tools to identify system limitations, assess dataset coverage, and guide model development. You will work closely with machine learning engineers, roboticists, safety, and cross-functional teams to tackle challenging, open-ended problems and establish the quantitative foundations that drive improvements in safety, comfort, and driving performance. Your work will directly influence how we develop, evaluate, and deploy the next generation of autonomous driving capabilities. What You’ll Do Act as the central authority on evaluation for our Behaviors teams, bridging the gap between model development and system-level autonomous behavior. Drive the evaluation strategy for our prediction and planning models, including open-loop and simulation-based assessments. Design and implement advanced metrics to measure model impact on overall system behavior, leveraging ML-based approaches for robust, end-to-end model evaluation. Incorporate concepts such as counterfactual reasoni…
Sign in to see the original posting
Browse more developer jobs on RoleBurst