Machine Learning Engineer

• Develop and train machine learning models for learned behavior systems, including behavior cloning, imitation learning, and reinforcement learning
• Implement production-quality ML code for model training, evaluation, and inference within the autonomy stack
• Analyze model performance, identify failure modes, and propose improvements for robustness and generalization
• Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data
• Collaborate with simulation, validation, and autonomy engineering teams to test learned behavior models across diverse driving environments
• Integrate learned behavior models into simulation and testing workflows
• Support tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration
• Contribute to technical discussions regarding model architecture and training strategies
• Develop software for automated trucks and autonomous driving systems at Torc Robotics

Machine Learning Engineer jobs in Michigan

Machine Learning Engineer II – Learned Planning, Reinforcement Learning