Robot Learning Engineer (Reinforcement Learning ​/ Imitation Learning

Robot Learning Engineer (Reinforcement Learning / Imitation Learning)

Hamilton, ON
· Canada Full Time AI team

You will develop learning-based systems that enhance autonomy, adaptability, and robot behavior across ROZOR robots, RL/IL models for navigation in complex spaces and refining behaviors for cleaning or delivery tasks in dynamic indoor settings.

• Develop reinforcement / imitation learning algorithms for navigation, manipulation, and task execution.
• Build training pipelines in simulation for scalable robot learning.
• Create policies for obstacle avoidance and motion planning in dynamic environments.
• Design reward functions, curriculum strategies, and evaluation metrics.
• Analyze and reduce simulation-to-reality gaps.
• Collaborate with autonomy, perception, and embedded teams to integrate learned policies.
• Improve robustness and generalization of learned behaviors.

• Bachelor's/Master's in Robotics, AI, Computer Science, or related field.
• Expertise in reinforcement learning, imitation learning, or decision-making algorithms.
• Proficiency in PyTorch, Tensor Flow, and modern simulation frameworks.
• Experience with ROS / ROS 2.
• Strong understanding of robot kinematics, navigation, and control systems.
• Strong mathematical foundation in optimization, probability, and machine learning.