Morgan McKinley is delighted to be partnering with a leading tech company to hire for a senior LLM researcher in their R&D Centre based in Dublin. This is initially a 12 months contract with annual review of extension.As a Senior LLM researcher, your knowledge and experience in building compact multi-modal LLMs for general question-answering, reasoning and planning will be applied to the areas of network self-healing, i.e., fault localisation and troubleshooting, root cause analysis, fault remediation planning.Responsibilities:Identify the state-of-art of AI technologies (both in industry and in academic literature) for solving problems in the domain of Autonomous Networks. Emphasis is given on technologies of Large Language Models for general question answering and reasoning / planning for use cases of network self-healing.Contribute to rapid and iterative development of validated software prototypes based on AI technologies, and benchmark alternative solutions.Work closely with Domain Experts, Data Engineers, and AI researchers. Collaborate with product development teams and partners in Businesses to productionise AI technologies, including providing source code and design documents.Conduct technical insights, contribute to strategic planning to maintain technological leadership, and propose innovative solutions and ideas for Autonomous Networks.RequirementsAs this role is heavily research based, we are looking for someone with a PhD in Artificial Intelligence / Machine Learning / Natural Language Processing (great plus if the focus was LLMs)2+ years of industrial or post-doctoral research experience in Artificial Intelligence or Machine Learning.Strong hands-on experience with Large Language Models and related technologies (i.e. training-time scaling with Agentic RL, Prompt optimisation, Retrieval Augmented Generation, search-based test-time scaling).Strong hands-on experience with building deep neural networks.Strong programming skills in Python.Practical skills in the use of general machine learning frameworks, i.e., Scikit-Learn, Pytorch, as well as LLM development frameworks, i.e. HuggingFace, Ollama, VERL, vLLM.Experience with training multi-agent systems with RL is a great plus.Publication track records in machine learning and computer science conferences and journals, including, but not limited to, ICML, ECML, NIPS, AAAI, IJCAI, IJCNN is a great plusIf this sounds like you, apply today with a copy of your CV