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) We are seeking a visionary research engineer to join our dynamic team, focusing on the powerful intersection of reinforcement learning (RL) and agentic AI. * As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to , develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models.
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