Machine Learning Engineer II
Core
Develop and train learned behavior models (behavior cloning, imitation learning, reinforcement learning) for the autonomy stack to improve robustness and generalization across driving scenarios.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
Production-quality ML models, training pipelines, and data workflows for simulation and fleet data
Domain
Autonomous driving, robotics, control systems (via careerplan.io/jobs/22031-machine-learning-engineer-ii-at-torc-robotics)
Deliverable
production ML models
Required skills
Python, PyTorch, imitation learning, reinforcement learning, sequence modeling, transformers, graph neural networks, scalable compute environments, model debugging, training pipeline iteration
Preferred skills
Ray, distributed training systems, vehicle dynamics, motion planning, multi-agent decision-making, production ML deployment
Responsibilities
Develop and train learned behavior models; Implement production-quality ML code for training, evaluation, and inference; Analyze model performance and failure modes; Build training pipelines and data workflows; Develop tooling for experimentation speed and reproducibility; Collaborate with simulation and validation teams
Seniority
Senior, hands-on IC
