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. Collaborative engagement with interdisciplinary teams will enhance project success.
Key Responsibilities:
• Develop models for detecting dynamic obstacles
• Implement behavior forecasting strategies
• Handle semantic mapping for spatial understanding
• Optimize navigation through learning-based techniques
• Train with diverse multi-modal datasets
Requirements:
• Degree in AI, Robotics, or a related area
• Experience with deep learning frameworks
• Proficiency in TensorFlow or PyTorch
• Knowledge of sequential prediction models
• Strong abilities in analytical and debugging tasks
Use your skills to bring innovative autonomy solutions to ROZOR robots in Hamilton.
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📌 Deep Learning Robotics Engineer at ROZOR (Hamilton)
🏢 ROZOR
📍 Hamilton