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. #J-18808-Ljbffr

📌 Robotics Ai Engineer (Deep Learning For Autonomy) (Hamilton)
🏢 ROZOR
📍 Hamilton