Quick overview
Job description
Location: Dublin, Ireland
About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.
About the IRC
Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognized multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. The IRC will work closely with an open, innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.
About the job
We are looking for a Senior AI Researcher to work with our AI research team, conducting world-class research in the area of Intelligent Operations and Management of future Autonomous Telecommunication Networks, influencing market and product development in order to deliver significant business value. The AI research team are working on production Datasets in close collaboration with a team of Domain Experts and Software Engineers.
Large Language Models (LLMs) have recently demonstrated the remarkable potential of acting as autonomous agents for decision-making tasks. Their adoption in the telco domain is expected to help realise our vision of zero-touch autonomous networks.
As a Senior AI researcher, your knowledge and experience in building LLMs for general tool use, 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. Experience with some of the following topics is mandatory: Agentic RL, RAG/GraphRAG, LLM post-training, Test-time scaling methods, Memory-based agents, Agent Skill optimisation, Prompt optimisation, and Harness optimisation. We particularly encourage applicants with domain knowledge of telco network operations and management.
Responsibilities
Identify the state-of-art of AI technologies (both in industry and in academic literature) for solving problems in the domain of Autonomous Telecommunication Networks. Emphasis is given on technologies of Large Language Models for general tool use, reasoning and planning for use cases of network self-healing and self-optimisation.
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 Huawei's technological leadership, and propose innovative solutions and ideas for Autonomous Telecommunication Networks.
Requirements
• PhD in Artificial Intelligence or Machine Learning and/or Natural Language Processing.
• 5+ years of industrial or post-doctoral research experience in Artificial Intelligence or Machine Learning.
• Strong hands-on experience with Large Language Models (i.e. Agentic RL, RAG/GraphRAG, LLM post-training, Test-time scaling methods, Memory-based agents, Agent Skill optimisation, Prompt optimisation).
• Strong hands-on experience with building deep neural networks.
• Good mathematics and statistics background.
• Strong programming skills in Python.
• Practical skills in the use of machine learning frameworks, i.e., Scikit-Learn, Pytorch.
• Problem solving ability, and demonstrated ability to develop new algorithms and methodologies from leading open source initiatives and research papers.
• Domain knowledge of telco networks 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 plus.
ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION.
DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEWS WILL BE CONTACTED.
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