Apply machine learning and vehicle dynamics expertise to control problems within an AI-first self-driving engineering team. Work spans simulation and on-vehicle validation.As a Senior Machine Learning Engineer, you will develop learned vehicle behavior models and integrate them into closed-loop simulation. You will improve controller adaptation across vehicles and operating conditions using Python, C++, and PyTorch. The work combines control theory, agile systems, physical hardware, and modern machine learning. You will own problems from conceptualization through experimentation, simulation, and validation.Key Responsibilities:




Design learned approaches for vehicle control problemsDevelop vehicle behavior and dynamics modelsIntegrate learned models into closed-loop simulationBuild data pipelines, metrics, and evaluation toolingValidate algorithms on vehicles and compare classical baselinesRequirements:
MS, PhD, or bachelor's degree in a technical fieldFour or more years of relevant industry experience with bachelor's degreeDepth in control theory and dynamic systemsProduction-quality Python and C++ coding skillsMachine learning experience with physical hardware and PyTorchUse control theory, machine learning, and production coding to advance vehicle dynamics through validated self-driving systems.
#J-18808-Ljbffr

📌 Senior Vehicle Dynamics Machine Learning Engineer (Winnipeg)
🏢 Waabi
📍 Winnipeg