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.

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 energetic 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, 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.

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📌 Robot Learning Engineer (Reinforcement Learning / Imitation Learning) (Canada)
🏢 ROZOR
📍 Canada