Robotics AI Engineer (Deep Learning for Autonomy) Hamilton, ON · Canada Full Time AI team
You will design, train, and deploy neural models that power high-level autonomy behaviors in ROZOR robots, obstacle prediction, semantic mapping, scene understanding, behavior forecasting, and learning-based navigation.
Responsibilities Develop deep learning for agile obstacle detection and motion prediction.
Work on behavior forecasting in crowded environments.
Handle semantic mapping and spatial understanding.
Create learning-based navigation and path optimization.
Process multi-modal data: RGB, LiDAR, depth, IMU, maps, and trajectories.
Build training and validation pipelines.
Integrate models into ROS 2-based autonomy stacks.
Collaborate across planning, perception, and embedded teams.




Conduct field testing and failure analysis.
Support dataset generation and ML operations.
What you bring Bachelor's/Master's in AI, Robotics, Computer Science, or related field.
Deep learning, computer vision, or reinforcement learning expertise.
PyTorch or TensorFlow proficiency.
Experience with time-series, trajectory data, or sequential prediction models.
Robot navigation, SLAM, mapping knowledge.
Detection, tracking, segmentation, or prediction training experience.
Strong debugging and analytical abilities.

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📌 Robotics AI Engineer (Deep Learning for Autonomy) (Ontario)
🏢 ROZOR
📍 Ontario