Robotics AI Engineer (Deep Learning for Autonomy

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.

• Develop deep learning for dynamic 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.

• Bachelor's/Master's in AI, Robotics, Computer Science, or related field.
• Deep learning, computer vision, or reinforcement learning expertise.
• PyTorch or Tensor Flow 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.