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, energetic 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 problems Develop vehicle behavior and dynamics models Integrate learned models into closed-loop simulation Build data pipelines, metrics, and evaluation tooling Validate algorithms on vehicles and compare classical baselines Requirements:

MS, PhD, or bachelor's degree in a technical field Four or more years of relevant industry experience with bachelor's degree Depth in control theory and dynamic systems Production-quality Python and C++ coding skills Machine learning experience with physical hardware and PyTorch Use control theory, machine learning, and production coding to advance vehicle dynamics through validated self-driving systems.

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