Research Fellow in ML System Design for Large AI Models
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Role Overview
Are you experienced in distributed systems and large cloud platform components? Do you want to apply your technical skills to real-world AI projects and participate in LLM-related events? This role involves leading the development of innovative system designs for Large Language Models (LLMs). The project, funded by EPSRC IAA, aims to create a new ML-oriented platform for large AI models, focusing on training, inference, and user-friendly deployment, making LLM research more accessible and cost-effective.
You will be responsible for managing external validation partners, leading the engineering team, and conducting cutting-edge research to maintain a leading position in AI systems and middleware.
Location and Flexibility
This role is based at the University of Leeds campus, with flexible working arrangements open for discussion.
Contact Information
For further details or queries, contact Prof. Jie Xu, School of Computing:
* Tel: +44 (0)113 343 5193
* Email: J.Xu@leeds.ac.uk
Note: The position may be suitable for sponsorship under the Skilled Worker visa route. First-time applicants may need to qualify for salary concessions. For more info, visit the UK Government’s Skilled Worker visa page. Eligibility under the Global Talent visa will also be considered.
What We Offer
* 26 days holiday plus approximately 16 Bank Holidays, totaling 42 days annually
* Generous pension scheme with 14.5% employer contribution and life assurance
* Health and Wellbeing benefits, including discounted gym memberships at The Edge
* Personal Development opportunities through courses and training
* Additional benefits like on-site childcare, shopping discounts, and travel schemes
Job Details
* Seniority level: Entry level
* Employment type: Full-time
* Job function: Engineering and Information Technology
* Industry: Higher Education
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