Elevate your career as a Deep Learning Robotics Engineer in Hamilton, ON, contributing to high-level autonomy in ROZOR robots. Your expertise in neural models will enable advanced behaviors and navigation.This full time position involves designing, training, and deploying deep learning frameworks that facilitate real-time obstacle recognition and semantic mapping. Your role will also include predicting behaviors in crowded settings and integrating models into ROS 2-based systems. Cooperative engagement with interdisciplinary teams will enhance project success.Key Responsibilities:
Develop models for detecting agile obstacles
Implement behavior forecasting strategies
Handle semantic mapping for spatial understanding
Optimize navigation through learning-based techniques
Train with diverse multi-modal datasetsRequirements:
Degree in AI, Robotics, or a related area
Experience with deep learning frameworks
Proficiency in TensorFlow or PyTorch
Knowledge of sequential prediction models
Solid abilities in analytical and debugging tasksUse your skills to bring innovative autonomy solutions to ROZOR robots in Hamilton.#J-18808-Ljbffr

📌 Deep Learning Robotics Engineer At Rozor Hamilton (Canada)
🏢 ROZOR
📍 Canada