Torc Robotics - ML Engineer, II - Learned Behaviors

• Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, 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 behavior datasets from simulation, fleet logs, and on-vehicle data. • Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments. • Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. • Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration. • Contribute to technical discussions around model architecture and training strategies within the team.