Overview
Research Engineer - LLMs - Decision-making & Reasoning Team at Huawei Technologies Research & Development (UK) Ltd
About the team
Decision-making & Reasoning Team has multiple divisions and is distributed globally. The London division focuses on Reinforcement Learning, Bayesian Optimisation, and AI-based Agent Systems. The international collective covers Artificial Intelligence, Statistics, Optimisation, and Optimal Control. The team has a strong publication record in top ML/CS journals and conferences and has won several awards.
Job Summary
Large Language Models (LLMs) demonstrate reasoning abilities across tasks. The role focuses on academic and applied research in AI Agents, exploring LLM-based decision-making, planning, reasoning, memory, reflection, tool-use, and communication. The long-term goal is to utilise LLM-based AI Agents for decision-making and reasoning.
Key Responsibilities
* Carry out literature reviews and investigate state-of-the-art AI Agent frameworks and models.
* Address important challenges and conduct cutting-edge research in LLM-based AI Agents.
* Build benchmarks/baselines using public datasets.
* Finetune LLMs on novel, practical tasks.
* Model evaluation and refinement.
* Publish research papers at top-tier NLP/ML/AI conferences and journals.
Requirements
* Publications in top-tier NLP/AI/ML conferences and top-tier journals as the first author.
* Creative and innovative with ability to translate ideas into prototypes, optimise costs, and drive implementation.
* Excellent knowledge of existing LLMs and AI Agents.
* Result-driven with good communication skills; able to work in a multicultural, multi-site, multi-language environment.
* Strong root-cause analysis and problem-solving skills.
* Focused, proactive, and motivated; able to work autonomously or as part of a team of researchers and technical experts.
* Broad knowledge, versatile, hands-on, and capable of generating new ideas and innovations.
Preferred qualifications
* A PhD in Natural Language Processing, Machine Learning, or related areas with a focus on LLMs and AI Agents.
* Strong research track record with publications in top NLP/AI/ML venues (e.g., NeurIPS, ICLR, ICML, ACL, NAACL, EMNLP, EACL).
* Excellent knowledge of LangChain, Auto-GPT, RL, MAS (desirable).
How to apply
If you wish to apply for this position and believe your experience and skills are suitable, please email a copy of your CV and cover letter to lili.yin@huawei.com
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