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 agile indoor settings.
Responsibilities
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.
What you bring
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, TensorFlow, and up-to-date simulation frameworks.
Experience with ROS / ROS 2.
Strong understanding of robot kinematics, navigation, and control systems.
Robust mathematical foundation in optimization, probability, and machine learning.
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