Research Scientist - Brain-Inspired AI Systems (Contractor)

Huawei; City of Westminster; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology company in the UK is seeking a Research Scientist specializing in memory algorithms for LLMs. The role involves designing innovative algorithms, collaborating with world-class experts, and publishing research findings. Candidates should hold a PhD in a relevant field and possess strong programming skills, particularly in Python and deep learning frameworks. This position offers the opportunity to work on cutting-edge projects that improve AI performance.

Qualifications

• Required: PhD in a relevant field or equivalent industry experience.
• Strong programming skills in Python.
• Experience with deep learning frameworks, ideally PyTorch.

Responsibilities

• Design and implement memory algorithms for LLMs.
• Collaborate with academic experts in neuroscience.
• Optimize implementations for practical deployment.

Skills

Programming in Python

Deep learning frameworks (PyTorch)

Understanding of transformer architectures

Machine learning or computational neuroscience background

Education

PhD in Computer Science, Neuroscience, Mathematics, or related field

Job description

Responsibilities

• Design and implement novel memory algorithms for LLMs.
• Develop biologically-inspired approaches to improve AI system performance.
• Research efficient methods for information storage and retrieval in neural networks.
• Collaborate with world-leading academic experts in computational neuroscience and memory systems.
• Work closely with the engineering team to optimize implementations for practical deployment.
• Publish research findings in top-tier conferences and journals.
• Contribute to patent applications and technical documentation.
• Work closely with international teams across Huawei\'s research centers.

Qualifications

• Required: PhD in Computer Science, Neuroscience, Mathematics, or related field (or equivalent industry experience).
• Strong programming skills in Python.
• Experience with deep learning frameworks (ideally PyTorch).
• Good understanding of transformer architectures and attention mechanisms.
• Background in machine learning or computational neuroscience.

Desired qualifications

• Good publication record in machine learning or computational neuroscience.
• Experience with LLMs.
• Experience with biological learning systems and memory models.
• Knowledge of Modern Hopfield Networks and associative memory systems.
• Background in variational inference and/or predictive coding.
• Understanding of hardware acceleration techniques.