Research Fellow in ML System Design for Large AI Models

Do you have in-depth knowledge of distributed systems? Have you ever designed and implemented system components for a large cloud platform? Would you like to bring your technical skills to real-world productions? Do you want to participate in LLM-related events and advance?

In this role, you will take the lead in developing innovative system designs for Large Language Models (LLMs). The project, funded by EPSRC IAA, is aimed at a spin-out company that will make a big difference in society.

The project aims to design a novel ML-oriented system for large AI models from scratch, taking into account their training, inference and user-friendly deployment. The new platform supports fast and cost-effective methods for users, meaning more engineers and academic researchers can participate in LLM-related research without worrying about high hardware costs. You will also be responsible for external validation partners and will lead the engineering team to complete the relevant validation.

Collaboratively, we will conduct cutting-edge research and expand this through the project funding. In particular, this role offers the opportunity to advance research efforts in the area of AI systems and middleware. These amazing features that we have proposed will help us maintain a leading position in this field.

This role will be based at the university of Leeds campus. We are open to discussing flexible working arrangements

To explore the post further or for any queries you may have, please contact:

Prof. Jie Xu, Professor in School of Computing

Tel: +44 (0)113 343 5193

Email: J.Xu@leeds.ac.uk

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

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