ML Engineer, II - Learned Behaviors

As a Machine Learning Engineer II – Learned Behaviors, you will develop and deploy behavior models that power decision-making for autonomous trucks. You will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.

Requirements

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience.
• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
• Experience training and evaluating machine learning models using large datasets and scalable compute environments.
• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.
• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.

Benefits

• Competitive salary
• Stock options
• Health insurance
• Dental insurance
• Vision insurance