Research Engineer - LLMs - Decision-making & Reasoning Team

Huawei; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in the UK is seeking a researcher specialized in Large Language Models (LLMs) to focus on AI Agents. The role involves conducting literature reviews, advancing research in LLM applications, and collaborating with top academic organizations. Ideal candidates should have a PhD in relevant fields and a strong research background. This position offers an opportunity to work within a diverse and innovative team.

Qualifications

• PhD degree focusing on LLMs and AI Agent.
• Strong research track record and publications in top-tier conferences.
• Excellent knowledge of LangChain and Auto-GPT.

Responsibilities

• Carry out literature reviews on AI Agent frameworks.
• Conduct cutting-edge research in LLM-based AI Agents.
• Collaborate with academic organisations on research projects.

Skills

Experience with LLMs and AI Agents

Research in NLP and ML

LangChain knowledge

Problem-solving skills

Communication skills

Ability to work in a multi-cultural environment

Education

PhD in Natural Language Processing or Machine Learning

Tools

LangChain

Auto-GPT

Reinforcement Learning

Job description

Decision-making & Reasoning Team has multiple divisions and is distributed across the globe. London division focuses on Reinforcement Learning, Bayesian Optimisation, and AI-based Agent Systems. The international collective of scientists and research engineers covers multiple areas in Artificial Intelligence, Statistics, Optimisation, and Optimal Control. The Team has demonstrated an excellent publication track in top Machine Learning and Computer Science journals (JMLR, MLJ, etc.) and conferences (ICML, NeurIPS, ICLR, DAC, etc.) and won multiple awards:

• NeurIPS 2020 Competition on Black-Box Optimisation
• 2022 International Workshop on Logic Synthesis Open Competition
• Best Paper Awards and Nominations on CoRL and IROS

Large Language Models (LLMs) have shown remarkable abilities to perform reasoning in various tasks. By training on large natural language corpora, LLMs have developed a wide range of knowledge and linguistic abilities, allowing them to perform complex reasoning tasks. They can process and understand natural language, as well as generate coherent responses. Recent works have shown the LLMs’ potential in autonomous agents. They can tackle complex decision‑making scenarios conditioned on provided information and generate insightful recommendations. With these abilities, LLM-based AI Agents have immense potential to assist humans in several intellectual tasks and contribute to our understanding and solving of complex problems.

Responsibilities

• Carry out a literature review and investigate the state‑of‑the‑art AI Agent frameworks and models.
• Work on solving important challenges and conduct cutting‑edge research in LLM‑based AI Agent.
• Conduct academic and applied research in the field of AI Agent, collaborating with world‑class academic organisations.
• The long‑term goal of this project is the utilisation of LLM‑based AI Agent for decision‑making and reasoning.
• The candidate will work on individual or team projects involving the utilisation of LLMs for the development of planning, reasoning, memory, reflection, tool‑use and communication abilities.

Qualifications and Skills

• Prior experience in LLMs and AI Agent.
• PhD degree in Natural Language Processing / Machine Learning or related areas, with a focus on LLMs and AI Agent.
• Strong research track record and publications in top‑tier NLP/AI/ML conferences including NeurIPS, ICLR, ICML, ACL, NAACL, EMNLP, EACL and top‑tier journals.
• Excellent knowledge of LangChain, Auto‑GPT, RL and MAS.
• Excellent root cause analysis and problem‑solving skills.
• Result‑driven with good communication skills; able to work efficiently in a multi‑cultural, multi‑site, multi‑language and changing environment.
• Pro‑active, motivated and open‑minded; able to learn fast.
• Autonomous and effective team player among research and technical experts.
• Broad knowledge, versatile and hands‑on; demonstrated ability to generate new ideas and innovate.