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Principal ai researcher

Dublin
Huawei Ireland Research Center
Principal
Posted: 7 July
Offer description

About the job: We are looking for a Principal 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 Principal AI 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, decision-making foundation model for network self-optimization, and try to combine RL-based self-adaptive decision-making technologies with LLM.
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 question answering and reasoning / planning for use cases of network self-healing and decision-making foundation model for network self-optimization.Lead the design of the solution based on good understanding on use cases and technologies and guide the team members to refine it.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 TelecommunicationRequirements 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 language model technology, especially with Large Language Models.
Better to have strong experience with foundation models for decision making.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.Benefits Competitive salary packageLong-term personal growth spaceOpportunities to work on high profile initiatives that impact the whole companyOpportunities to work with the brightest minds in software engineering (including Huawei Fellow and renowned professors in the world)A multi-cultural, international working environmentWork for an international world leader, an established yet still rapidly growing Fortune 500 companyCheck out Life at Huawei Ireland Research Centre: TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED.
Privacy Statement Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received.
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