2026 - Senior LLM Researcher - Contractor

We are looking for a Senior LLM 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 LLM researcher , your knowledge and experience in building single/multi-agent systems based compact LLMs finetuned with Agentic RL for reasoning/planning, tool-use, memory use and RAG, applied to the areas of network self-healing, i.e., fault localisation and troubleshooting, root cause analysis, fault remediation planning . We particularly encourage applicants with domain knowledge of telco network operations and management.

Responsibilities

• Identify the state-of-art of AI technologies in the area of LLM-based single/multi-agent systems for solving problems based on advanced reasoning and decision-making capabilities of LLMs in the domain of Autonomous Telecommunication Networks (application areas of network self-healing, self-configuration 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 / Machine Learning / Natural Language Processing.
• 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.
• Good mathematics and statistics background.
• 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.
• 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.
• 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 plus.

Benefits

• Annual leave
• Training & Development

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