Machine Learning Software Developer for AI Hardware
1 day ago
We are excited to announce a PhD opportunity at the University of Edinburgh, UK, focused on software optimisation for AI computing architectures. The selected candidate will work under the guidance of experienced researchers to explore the benefits of employing software optimisation techniques for training Large Language Models (LLMs) on unconventional hardware platforms.
Annual Salary: £38,000 - £48,000.
About the PhD Programme:The PhD research aims to develop Python-based libraries for efficient training and inference on non-traditional computing devices. These libraries will be designed to seamlessly integrate with popular deep learning frameworks, enabling effective utilisation of diverse hardware configurations.
Primary Responsibilities:- Developing Python libraries for efficient training and inference on unconventional computing platforms.
- Investigating the effectiveness of software optimisation techniques for LLM training.
- Collaborating with the research team to ensure smooth integration of the created libraries.
- Excellent programming skills in Python.
- Advanced knowledge of ML/AI modelling using PyTorch or TensorFlow.
- Understanding of computer architecture principles.
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