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Graphcore

Delivers IPU-powered AI cloud services

AI Technology PhD Research Intern

AI ResearchConfirmed live in the last 24 hours
InternshipNo salary listed

About the Job

Requirements

  • Currently studying for a PhD specializing in artificial intelligence or machine learning.
  • Demonstrate strong coding ability in Python or C++ through projects, research, or other practical experience.
  • Have experience implementing algorithms in machine learning frameworks such as PyTorch.
  • Be able to design experiments, interpret results, and communicate research clearly, with curiosity about theory and practical experimentation.

Responsibilities

  • Explore how research could inform the next generation of artificial intelligence compute, working with researchers on questions shaped by real-world hardware and software challenges.
  • Develop ideas, implement models and algorithms, design experiments, and present findings, often in the form of a paper, across topics including large-scale pretraining and post-training of large language models, efficient inference, numerics, world models, molecule generation for life science applications, and model safety and interpretability.
  • Pursue promising ideas and help shape the research direction, testing ideas with mentoring.
  • Take a research question through experimentation, implementation, and analysis; assess results, decide which ideas merit further investigation, and communicate findings.
  • Explore theory and practical experiments to understand how research connects to AI models, hardware, and systems.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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