You will be expected to advance AI paradigms by enhancing existing machine learning systems, integrating cutting-edge data-driven, generative approaches with robust, safe, and scalable reinforcement learning algorithms. * Education: excellent PhD in Computer Science, Artificial Intelligence, Machine Learning or a related field, with a strong publication record in leading conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) o excellent knowledge of Python and profound knowledge of industry-standard Machine Learning frameworks and libraries (e.g., PyTorch, Hugging Face, JAX, TensorFlow); good knowledge of C++ and related frameworks (e.g., ROS 2)
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