About the job:
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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