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
- Solid abilities in analytical and debugging tasks Use your skills to bring innovative autonomy solutions to ROZOR robots in Hamilton.
📌 Deep Learning Robotics Engineer at ROZOR (Canada)
🏢 ROZOR
📍 Canada